A Guide to

Ronald Fisher in 1956
The
outstanding resource is the
Many
articles about Fisher are available through the institutional subscription service JSTO
Ronald Aylmer Fisher was born in
After
graduating Fisher had several jobs—in an actuarial office and on a farm in
In 1919 John Russell of Rothamsted Experimental Station hired Fisher on a temporary basis to see if a statistician could do anything with the mass of data accumulated there. Studies in Crop Variation. I (1921) was the first of a stream of papers showing what could be done. There had been some statistical work on agricultural experiments before the war involving ‘Student’ (W. S. Gosset) and Fisher’s Cambridge tutor, the astronomer F.J.M. Stratton, but Fisher raised the subject to a new level. Fisher left Rothamsted in 1933 as head of a statistics department drawing pilgrims from all over the world. There he developed the analysis of variance as well as a new approach to experimental design. His principles of randomisation, replication and blocking were presented in Statistical Methods for Research Workers (1925), The Arrangement of Field Experiments (1926) and more fully in The Design of Experiments (1935).
Fisher continued to work on statistical
and genetical theory. On the Mathematical
Foundations of Theoretical Statistics (1922) and Theory of Statistical Estimation (1925) advanced a new theory of estimation
in opposition to the Bayesian approach. It emphasised maximum likelihood as an
efficient way of extracting information from the data. Meanwhile Fisher was
reconstructing the theory of Pearson’s chi-squared test (On the Interpretation
of χ2 from Contingency Tables)
and extending the scope of Student’s distribution—see Applications
of "Student’s" Distribution.. These developments, like the
analysis of variance, relied on a new system of distribution theory, based on
the interrelation of the normal t,
χ 2 and z (a function of the modern F) distributions. This was presented in On a Distribution Yielding the Error Functions
of Several Well Known Statistics (1924).
The Statistical Methods for Research
Workers (1925)
instructed researchers in the methods based on this system. The book
revolutionised applied statistics, replacing the methods Pearson had introduced
at the turn of the century.
Fisher’s
genetical research at Rothamsted concentrated on evolution, on integrating
Mendelian theory with
In 1933 Fisher
succeeded Pearson as Galton Professor of Eugenics and head of the Galton Laboratory at
In London Fisher continued to work on fiducial inference, an approach he had introduced in Inverse Probability (1930). In The Fiducial Argument (1935) he applied it to the Behrens-Fisher problem. His Two New Properties of Mathematical Likelihood (1934) showed how ancillary statistics could be used in conditional inference. On the biological side he set up a unit to study the genetics of blood groups; see Box (ch. 13). The unit, which included G. L. Taylor and R. R. Race, did important work on Rhesus blood groups. Fisher also had a breeding colony of mice.
In 1943 Fisher
returned to
Fisher received plenty of recognition. He was elected a Fellow of the Royal Society in 1929 (certificate of election), awarded its Royal Medal in 1938, Darwin Medal in 1948 and Copley Medal in 1955; he was knighted in 1952. Fisher inspired and gave warmth and loyalty but intellectual differences often generated personal enmities. The most enduring of these was with Karl Pearson; this had the result that after 1915 the leading statistician never published in the leading statistics journal, Pearson’s Biometrika. Later there were quarrels with Neyman and Wright.
Main sources: Box , Savage (a brilliant review of Fisher’s statistical work) and
Yates, F. & K. Mather (1963) Ronald Aylmer Fisher 1890-1962, Biographical Memoirs of Fellows of the Royal Society, 9, 91-120.
Pictures
St
Andrews Portraits
of Statisticians Portrait
at Gonville & Caius. Memorial window. Fisher’s
childhood home. Lloyd
Allison’s pictures of Fisher and of St. Peter’s Cathedral. Royal Society
portraits here
and here.
_______________________________________________________
A full bibliography of Fisher’s writings is available from Adelaide. This is an extended version of the bibliography in volume 1 of the Collected Papers.
Fisher’s
published six books and all went into more than one edition. Five appeared in
posthumous editions incorporating alterations he had planned. Only the Genetical Theory exists in a variorum
edition.
·
Statistical Methods for Research Workers, 14 editions, 1925 /28 /30 /32 /34 /36
/38 /41 /44 / 46 /50 /54 /58 / 70, Edinburgh: Oliver & Boyd. From the 1948
reprint of the 10th edition the book was also published in
This
was Fisher’s most influential statistics book. It is essentially a book of
significance test recipes. Behind the recipes was the system of sampling
distributions based on the normal distribution. Fisher’s ideas on randomisation
in experiments were first presented here, as well as his reconstruction of
regression theory. New editions with extra recipes appeared every few years—the first edition had 239 pages, the last
362 more densely filled pages. While new sections were interpolated the basic
structure remained unchanged and old material that had been important, such as
the intra-class correlation, was never retired. Some old material was rewritten
in the light of new developments, e.g. the text had to accommodate the
introduction of the fiducial argument in 1930. To see how the paragraphs on
probability and likelihood in the first chapter were rewritten see Likelihood & Probability and follow the trail of red ink.
In 1951 an issue of JASA celebrated
the book’s silver jubilee. The first edition is
available on Christopher Green’s Classics in the History of Psychology website. Six reviews of the 1st edition are known
and are available on the web—by Student,
E.
S. Pearson (who also reviewed the 2nd edition), Harold
Hotelling (who reviewed the first 7 editions!) and Isserlis
as well as unsigned reviews in Nature
and the BMJ.
Edwards
describes the first edition and how it was received.
·
The Genetical Theory of Natural Selection, 3 editions 1930 /58 /99.
W. D. Hamilton
rated this book as “second in importance in evolution theory to
·
The Design of Experiments, 8 editions, 1935 /37 /42 /47 /49 /51
/60 /66, Edinburgh: Oliver & Boyd. From 5th edition also
published
This work expounded the principles of experimental design Fisher had been developing since the mid 20s. It was essentially an ideas book and much of the associated statistical analysis was presented in Statistical Methods for Research Workers. Over the years Fisher added some sub-sections and changed some of the text but the final edition of the book is not very different from the first. The first edition was reviewed by S. V. Eaton Botanical Gazette, 97, (Dec., 1935), 426-427 JSTOR, Harold Hotelling Journal of the American Statistical Association, 30, (Dec., 1935), 771-772 JSTOR and C. C. Craig American Mathematical Monthly, 43, (Mar., 1936), 180-181 JSTOR.
·
Statistical Tables for Biological
Agricultural and Medical Research
(with F. Yates), 6 editions, 1938 /43 /49 /53 /57 /63,
The basic tables were provided in Statistical Methods for Research Workers
with instruction in how to use them. Those presented here were much more
extensive—more distributions were covered and individual tables were less
abbreviated and successive editions brought in extra tables. The tables are
prefaced by an Introduction describing their use. Yates recalled the origins of
the book in his foreword to the 1990 compendium: “By the mid-1930s it became
increasingly obvious that a book of tables, containing properly bound copies of
those included in Statistical Methods, would be of great benefit to
practical workers. When I first suggested this Fisher was averse to it, but
eventually he changed his mind. I then discovered, somewhat to my surprise,
that he had indeed been thinking about this for some time.” The sixth (posthumous) edition is available from
·
Theory of Inbreeding, 2 editions, 1949 /65,
A theoretical investigation of certain aspects of
inbreeding and a presentation of the theory of junctions. Although the topic
has both practical and theoretical interest and the opening chapter makes an
interesting link with
·
Statistical Methods and Scientific
Inference, 3 editions,
1956/59/74, Edinburgh: Oliver & Boyd. Also published New York Hafner.
This was Fisher’s only unified account of the principles underlying his approach to statistical inference—significance tests, likelihood and fiducial inference. It takes the form of a review of statistical inference since Bayes. As he had been doing since the 20s, Fisher criticised the Bayesian approach but he also criticised Neyman and Wald. Some of the points against them are made in his 1955 JRSSB article “Statistical Methods and Scientific Induction” JSTOR. Some new material was added in later editions. The first edition was reviewed by N. T. J. Bailey JRSSA, 120, No. 1. (1957), 88-89 JSTOR , G. H. Jowett Applied Statistics, 6, No. 3, (1957), 226-227 JSTOR, M. S. Bartlett Biometrika, 44, (1957), 293-295, JSTOR, E. J. G. Pitman, Journal of the American Statistical Association, 52, No. 79, (1957), 322-330, JSTOR. The review by D. V. Lindley in Heredity, 11, (1957), 280-2 angered Fisher; see the letter to Barnard on p. 36 of Statistical Inference & Analysis. In his obituary (p. 6) Maurice Kendall expressed the wish that Fisher had never written the book—or the smoking pamphlet.
Not a book but a pamphlet of 47 pages, reprinting the pieces Fisher had written on the topic. Apart from the additional note ‘Inhaling’ these are reproduced in the Collected Papers. The volume was reviewed by C. C. Spicer JRSSA, 122, No. 4. (1959), 554-556, JSTOR.
·
Statistical Methods, Experimental Design and Scientific Inference,
A
compilation edited by J. H. Bennett containing the posthumous editions of Statistical Methods for Research Workers,
Design of Experiments and Statistical Methods and Scientific Inference
as published by Hafner with
a foreword by F. Yates.
The standard edition of Fisher’s papers is
J. H. Bennett
(1971/4) Collected Papers of
This has 294
items but even so it lacks most of Fisher’s book reviews and some of his
published contributions to discussions. Sets can be purchased from
the Department of Statistics and Actuarial Science,
Fisher made a selection of his statistical
papers—and wrote notes on them—for the volume
These notes are included in the Bennett edition and in the
digitalised version from
Web
access
· Many of the articles are available from Adelaide and there are links to several of these in this guide. All of the articles, except for Fisher’s review of Keynes’s Treatise on Probability, (CP32A in the list) had previously appeared in the Collected Papers.
Although
many of Fisher’s articles are available on the web, that does not make them
easy to read—technical literature written between forty and ninety years ago
seldom is. (Of the papers mentioned in the biographical
sketch the most approachable is
probably The
Arrangement of Field Experiments.)
i) Fisher wrote many non-technical pieces. For the Eugenics Review he wrote expositions of his genetic papers as well as pieces on eugenics proper. In later years he wrote many perspective pieces. Here are some examples.
· Some Hopes of a Eugenist. Eugenics Review, 5: 309-315 (1914)
· The Causes of Human Variability. Eugenics Review, 10: 213-220. (1918)
· Darwinian Evolution by Mutations. Eugenics Review, 14: 31-34 (1922)
· The Biometrical Study of Heredity. Eugenics Review, 16: 189-210. (1924)
·
The Bearing
of Genetics on Theories of
Evolution. Science
Progress, 27: 273-287 (1932)
·
The
Contributions of Rothamsted to the Development of the Science of Statistics.
Annual Report Rothamsted
Experimental Station, 1933, p. 43-50.
·
Uncertain
Inference. Proceedings of the
American
·
Has Mendel’s
Work been Rediscovered? Annals of Science, 1, 115-137, (1936)
· The Rhesus Factor : A Study in Scientific Method. American Scientist, 35: 95-103 (1947)
·
Statistics. In Scientific Thought in the Twentieth Century,
(ed. A.E. Heath), pp. 31-55.
·
Natural Selection
from the Genetical Standpoint. Australian Journal of Science, 22: 16-17 (1959)
In these expositions Fisher did not just re-hash old
material, thus Uncertain Inference
contains the first statement of the problem of the
ii) His technical writings seem unnecessarily difficult because important steps in the argument are often left out. His main books are almost desperately non-technical but this only perplexes the reader who tries to reconstruct the underlying mathematical argument. Thus some of his publications have been reprinted with aids for the reader.
The
fundamental 1918 population genetics paper is reprinted with a detailed
analysis in
P. A. P. Moran
and C. A. B. Smith (1966) Commentary on
Two anthologies of statistical classics reproduce some of Fisher’s writing. These have introductions and bibliographies.
·
S.
Kotz & N. L. Johnson (1992) Breakthroughs in Statistics Volumes 1 &
2,
In
volume 1, S. M. Geisser discusses (part of) “Mathematical Foundations of
Theoretical Statistics” (1922), the great programmatic work on statistical
theory. In volume 2, T. Speed discusses “The Arrangement of Field Experiments”
(1926) and S. C. Pearce discusses an extract from Statistical Methods for Research Workers (1925) dealing with the
analysis of variance.
·
H.
A. David & A. W. F. Edwards (2001) Annotated
Edwards
discusses “Inverse Probability”, the first presentation of the fiducial
argument.
Fisher’s
correspondence & manuscripts
·
Fisher’s
papers are in the Barr-Smith
Library of the
·
·
·
The National Register
of Archives lists some further holdings in the
·
There
are letters in the Hotelling papers at Columbia
University
·
The American Philosophical Society Library
has extensive holdings of the papers of American scientists. For Fisher the
most significant collection is the Sewall Wright Papers
but there is Fisher material in other collections: Milislav Demerec
Papers L. C.
Dunn Papers Raymond
Pearl Papers Bronson Price
Papers. The entries have useful biographical information on their subjects.
The APS also have the papers of John Tukey but these are not
yet catalogued.
Presumably
more material will become available as the papers of those who corresponded
with Fisher pass into library collections.
Published correspondence
Much
valuable material has been published with useful notes by various editors.
·
E.
S. Pearson (1968) Some Early Correspondence between W. S.
Gosset,
These
letters (originals
in UCL) are to or from or about Fisher in his earliest days as a statistician.
·
Letters from W. S. Gosset to
For
Fisher’s statistical work up to the mid-30s the correspondence with Gosset
(Student) is the most useful source (The originals
are in UCL). There is no editorial apparatus. The second edition of 1970 has a
few letters not in the first of 1962. The letters are best read in conjunction
with the biographies by Box
and E. S. Pearson.
This selection is valuable for
Fisher’s genetics in the period 1915-1938: Bennett’s introduction is an
excellent guide to this side of Fisher’s work.
The correspondence with Darwin reveals more of Fisher’s feelings
than the cordial but more professional correspondence with Gosset. This volume,
based on
·
J.
H. Bennett (1990) (ed) Statistical
Inference and Analysis: Selected Correspondence of
This is based on material in
G. A. Barnard
(1992) Review of Statistical
Inference and Analysis: Selected Correspondence of
A. P. Dempster (1991) Fisher’s Letters: Statistical Inference and Analysis. Selected
Correspondence of
A. W. F. Edwards (1991) Statistical Inference and Analysis: Selected
Correspondence of
A. W. Kemp (1993) Statistical Inference and Analysis: Selected
Correspondence of
_______________________________________________________
Writing about Fisher is not a well-defined category.
Fisher was such an important figure that to write about his subjects was
inevitably to write about his ideas. Modern work on the analysis of variance usually makes no direct reference to him
but in the 1930s it was Fisher’s
analysis of variance. Writing on other Fisher topics—particularly controversial
ones like fiducial inference, the Behrens-Fisher problem or the fundamental
theorem of natural selection—can be as much about Fisher as anything with his
name in the title.
The
hundreds of references below illustrate
different ways of approaching Fisher. The grouping of items is rough and
unsystematic; there is no category of articles
taking off from Fisher as that would have produced thousands of references.
The electronic format makes it easy for you to make your own specialised list:
to make one on, say, the fiducial argument start by searching on fiducial.
There is the
fine full-scale biography by
Fisher’s daughter.
·
Joan
Fisher
This covers both Fisher’s scientific
career and his personal life. Many of those who worked with Fisher were still alive
and the book makes excellent use of their recollections. The book conveys very
well how Fisher saw his controversies but it is worth consulting treatments
from the other side: see Fisher’s significant others. Kruskal’s review essay
provides additional perspective
There are less detailed reviews by Rao Mathematical Reviews, Yates Journal of the Royal Statistical Society, A, 142, (1979), 504-506 JSTOR, Finney Biometrics, 35, (1979), 357-358 JSTOR, Dempster Science, 203, No. 4380. (Feb. 9, 1979), p. 537, JSTOR, Kanji Statistician, 30, (1981), 157-158 JSTOR, Calder Statistician, 36, (1987), 60-62 JSTOR. Porter Journal of Heredity, 28, (1987), 215 here. The article “Science and Statistics” by G.E.P. Box (Joan’s husband) is an interesting companion piece to the biography.
There
is a useful overview of Fisher’s statistical work
·
S.
E. Fienberg & D. V. Hinkley (1980) (eds)
This
contains essays on the individual fields to which Fisher contributed. The
individual essays appear below and can be found by searching for Fienberg.
There is a detailed review by Oscar Kempthorne Journal of the American Statistical Association, 78, (1983),
482-490 JSTOR. This is not only an account of the book
but a record of Kempthorne’s feelings about Fisher. There is a note by Seneta
in Mathematical
Reviews.
Recently
three mini-symposia on Fisher have appeared. The Statistician
articles were associated with the blue
plaque occasion of 2002 and survey Fisher’s main activities. The IJE
articles focus on smoking; see below for other articles on this theme.
The “Mendel-Fisher controversy” began with Fisher’s 1936 paper Has Mendel’s
work been rediscovered?; see below for other articles on this theme.
·
S.
Senn, P. J. Green, M. J. R. Healy, A. W. F. Edwards, A. Grafen
(2003) A Blue Plaque for Fisher, Statistician (Journal of the Royal
Statistical Society, Series D), 52 (3), 297-330.
·
P. Armitage,
W. Bodmer,
I.
Chalmers, R. Doll, H. Marks (2003) International
Journal of Epidemiology, 32, (6), 922-948.
·
A.
Franklin, A. W. F. Edwards, D. J. Fairbanks, D. L. Hartl, T. Seidenfeld (2008) Ending the Mendel-Fisher Controversy,
University of Pittsburgh Press.
.
Ronald
Fisher has been remembered in publications ranging from The Caian, his college magazine, to the Dictionary of National Biography. The list here is arranged
chronologically. 1962-7 was the time for obituaries and appreciations and 1990
was the Fisher centenary. There were no obituaries in the main genetics
journals as they do not seem to have published obituaries at the time of
Fisher’s death. Except for Yates & Mather
the links are to JSTO
The
Times,
Sir Ronald
Aylmer Fisher, 1890-1962 (in Obituary) Journal
of the Royal Statistical Society. A, (1962), 125, 668. JSTOR
A.
W. J. Youden
(1962) Memorial to Sir Ronald Aylmer Fisher: 1890-1962, Journal of the American Statistical Association, 57, 727-728. JSTOR
M.
Fréchet (1963) Letter to the
President of the Royal Statistical Society, Journal of the Royal
Statistical Society. Series A,
126, 169-170. (part of the next
entry)
J. O. Irwin, G. A. Barnard, K. Mather, F. Yates,
& M. J.
M. G. Kendall (1963) Ronald Aylmer Fisher, 1890-1962, Biometrika, 50, 1-15. JSTOR,
F. Yates & K. Mather (1963) Ronald
Aylmer Fisher 1890-1962, Biographical
Memoirs of Fellows of the Royal Society, 9, 91-120.
J. Neyman. (1967)
W. G. Cochran
(1967) Footnote [To Neyman 1967], Science,
156, 1460-1462. JSTOR
F. Yates (1981) Fisher, Sir Ronald
Aylmer, The Dictionary of National
Biography, 1961-70, ed. E. T. Williams and C. S. Nicholls, pp. 361-362,
L. L. Cavalli-Sforza (1990)
Recollections of Whittingehame Lodge. Theoretical
Population Biology, 38, 301-305.
C.
Clarke (1990) Professor Sir Ronald Fisher, F.
A. W. F.
Edwards (1990) Commemorative windows in Hall for John Venn and
A. W. F. Edwards (1990)
C. B.
Goodhart (1990) Sir Ronald Aylmer Fisher, Sc.D., F.
J. C. Gower (1990/1) Sir Ronald Aylmer Fisher 1890-1962, Mathematical Spectrum, 23, 76-86.
Of course many of those who knew him have left more informal recollections, e.g., the cosmologist Fred Hoyle in Fisher quotations (the last one) and the mathematician Christopher Zeeman in The Linnean, 22, (2006), p. 10 recall conversations with Fisher.
Encyclopedia
articles give brief surveys of Fisher and his work. They can also provide
linked articles on people and/or topics associated with Fisher: in Statistics
Karl Pearson, W. S. Gosset, J. Neyman, etc) and analysis of variance, fiducial
inference, design of experiments, likelihood, chi-squared, information,
sufficiency, ancillarity etc; in genetics/evolutionary biology Pearson, W.
Bateson, Sewall Wright, J. B. S. Haldane E. B. Ford and evolution, natural
selection, modern synthesis, sex ratio, … For statistics the Encyclopedia of Biostatistics and Statisticians
of the Centuries have
the fullest links and for biology the Encyclopedia
of Life Sciences; this last has many articles on Fisher topics and Fisher
people e.g. evolution, the sex-ratio, E. B. Ford, Karl Pearson and Sewall
Wright
M. Ruse (2006) Fisher, Ronald Aylmer. Encyclopedia of Life Sciences, Wiley available to subscribing institutions at http://www.els.net/
N. S. Hall
(2004) Fisher, Sir Ronald. Encyclopedia of Social Measurement (ed. K.
Kempf-Leonard) 39-.
A. W. F. Edwards (2002) Fisher,
S.
L. Zabell (2001) Ronald Aylmer Fisher. Statisticians of the Centuries
(ed. C. C. Heyde and
A. W. F.
Edwards (2001) Darwin and Mendel united: the contributions of Fisher, Haldane
and Wright up to 1932. Encyclopedia of Genetics.
A. W. F. Edwards (2001) Ronald A.
Fisher. International Encyclopedia of the
Social and Behavioural Sciences. Kidlington,
J. F. Box & A. W. F. Edwards (1998)
Fisher, Ronald Aylmer. Encyclopedia of
Biostatistics 2, 1523-1529.
J. F.
A. W. F.
Edwards (1987) Fisher, Ronald Aylmer. The
New Palgrave: A Dictionary of Economics,
J. F.
M. S. Bartlett (1978) Fisher,
N. T. Gridgeman (1972) Fisher,
_____________________________________________________
Fisher’s
work is discussed in histories of the various fields to which he contributed.
See the following.
·
A.
Hald (1998) A History of Mathematical
Statistics from 1750 to 1930.
This is a detailed technical history.
Despite the title it extends beyond 1930 to cover most of Fisher’s work.
·
A.
Hald (2007) A History of Parametric
Statistical Inference from Bernoulli to Fisher, 1713-1935.
This is essentially a second edition of
part of Hald’s 1998 book.
·
G.
Gigerenzer, Z. Switjink, T. Porter, L. Daston & L. Kruger (1989) The Empire of Chance,
Fisher is a major twentieth century
presence in this general history of probability and statistics.
·
J.
W. Tankard (1984) The Statistical Pioneers,
Essentially a collection of biographies
with a chapter on Fisher.
·
H. O. Lancaster (1969) The Chi-squared Distribution,
A historically informed monograph on a
subject to which Fisher made important contributions.
·
D.
A. MacKenzie (1981) Statistics in
A sociology of science perspective on
Statistics, Genetics and Eugenics with a chapter on Fisher’s work.
·
W.
B. Provine (1971) The Origins
of Theoretical Population Genetics.
·
E. Mayr (1982) The Growth of Biological Thought: Diversity, Evolution and Inheritance,
Mayr did not appreciate Fisher
and this book of nearly 1000 pages devotes only a page or so to him.
· Garland E. Allen (1988) Bibliographic Essays: Life Sciences in the Twentieth Century.
There are several essays on Fisher; they
appear below and can be found by searching on Sarkar.
·
J.
Gayon (1998) Darwinism’s Struggle for Survival: Heredity and the Hypothesis
of Natural Selection,
An account of evolutionary
theory from
Once More with
Feeling. Journal of Evolutionary Biology 14 (3), 519-519.
·
Stephen
Jay Gould (2002) The Structure of
Evolutionary Theory,
This is a personal interpretation of the present-day state of the subject but it contains plenty of history.
This history of the British Eugenics
movement has a chapter on Fisher.
Russell
brought Fisher to Rothamsted. His book emphasises the role of Rothamsted in the
development of agricultural science in
H. G. Thornton (1966) Sir Edward John Russell, Biographical Memoirs of Fellows of the Royal Society, 12, 457-477.
·
J.
C. Gower, J. C. (1988) Statistics and Agriculture, Journal of the Royal Statistical Society, A, 151, 179-200. JSTOR
A survey of the British scene from the end of the 18th
century.
·
Anthony
C. Atkinson &
Because Fisher boycotted Biometrika
after 1918 (biographical
sketch) his
presence in this history is strictly “off the page”.
Many
of the technical terms in modern
Statistics came from Fisher. See
·
David,
H. A. First (?) Occurrence of Common Terms in Statistics and Probability,
Appendix B and pp. 219-228 of H. A. David & A. W. F. Edwards (ed) (2001) Annotated Readings in the History of
Statistics, Springer New York.
·
Or
search for Fisher in Jeff Miller’s Earliest known uses of some of
the words of mathematics and Earliest
uses of symbols in probability and statistics pages. Many of the entries
have links to the papers where Fisher first used the terms.
·
There
is an account of how Fisher transformed Karl Pearson’s statistical language in
J. Aldrich (2003) The Language of the
English Biometric School, International Statistical Review, 71,
109-131.
_____________________________________________________
Fisher in textbooks
Modern statistics textbooks refer to the “Fisher exact test”, “Fisher information”, etc. but they rarely indicate the depth and breadth of his contribution. Some contributions were so fundamental that they are invisible and not attributed to him or indeed to anybody.
M. Ezekiel’s Methods of Correlation Analysis (1930) was perhaps the first textbook to give prominence to Fisher’s ideas. Snedecor’s textbook was very widely used while Mather’s carried an endorsement from Fisher.
·
George W. Snedecor (1937) Statistical Methods Applied to
Experiments in Agriculture and Biology,
·
K.
Mather (1943) Statistical Analysis in Biology,
Cramér’s synthesis puts Fisher’s contribution alongside that of
others and so provides some perspective on it
·
H.
Cramér (1946) Mathematical Methods of
Statistics,
There
are frequent references to Fisher’s ideas on inference in
D.
In biology Fisher does figure in some modern textbooks
_____________________________________________________
Fisher was involved with other scientists in a variety of
ways. Of course the categories are not mutually exclusive, though there do not
seem to have been cases of co-authors and students becoming enemies.
See Box for information on many of these and their work with Fisher. There are additional references below. Russell’s history is useful for Fisher’s Rothamsted collaborators. An early Rothamsted collaborator was H. G. Thornton, the chief bacteriologist
P.S
Nutman. (1977) Sir Henry Gerard
Thornton, Biographical Memoirs of Fellows of the Royal
Society, 23, 557-574.
·
Enemies In his obituary piece in The Times
Barnard wrote “his devotion to scientific truth being literally passionate, he
was an implacable enemy of those whom who judged guilty of propagating error.”
There were serious breaches with Karl Pearson,
Sewall Wright and Jerzy Neyman amongst others. See below.
·
Students both formal and informal. See below.
·
Friends. From
Barnard in The Times again, “He was capable of tremendous charm and
warmth in friendship.” One important friendship outside of the usual colleague/student
pattern was that with Mahalanobis. Their
relationship was like that between friendly potentates. P. C. Mahalonobis
(1893-1972) was a physicist turned statistician who set up the Indian
Statistical Institute in 1931. He and Fisher made contact in the 1920s and
Fisher became an important ally in establishing Statistics in
A. Rudra (1996) Prasanta Chandra Mahalanobis: A Biography,
P. C. Mahalanobis (1964) Some Personal
Memories of
Some relationships were of such importance in the history of 20th century Statistics and Genetics and/or in Fisher’s life that they have their own literatures. The relationship with Leonard Darwin was an important personal relationship. The relationships with the others reflect Fisher’s changing position, as he got older and his authority increased. Pearson and Gosset were his significant seniors, Wright was a contemporary while Fisher was the significant senior for Neyman and Jeffreys.
Someone who belongs here is E. S. Pearson. However, Fisher saw Egon Pearson as a proxy, first for his father, Karl Pearson, and then for his collaborator Jerzy Neyman. Some of the material under Neyman is useful for Fisher’s relations with ESP but the best source is Pearson’s biography of Student. The reviews Pearson wrote of the first two editions of Fisher’s Statistical Methods for Research Workers drew replies from Fisher.
Fisher and
Karl Pearson see biographical
sketch
In 1912 Karl Pearson (1857-1936) St Andrews dominated Statistics and Biometry but by the end of the 20s Fisher had replaced him as the leader in both subjects. On Fisher’s death Fréchet wrote, “Les statisticiens du monde entier savent quelle dette ils doivent à l’école statistique brittanique, et en particulier, aux deux grands savants, qui ont, l’un créé, l’autre transformé le statistique mathématique, Karl Pearson et Sir Ronald Fisher” (1963). However, it is clear from Fisher’s Statistics and his Statistical Methods and Scientific Inference that Pearson was no “grand savant” for him.
Personal relations between the men began to be cold from 1917, when Fisher felt Pearson had treated him badly, and Fisher was still expressing bitterness twenty years after Pearson’s death. Fisher’s contempt for Pearson found expression in some unlikely ways, e.g. in his celebration of the work of Pearson’s contemporary W. F. Sheppard. The rift occurred at a critical point in Fisher's career but it was less vital for Pearson and there is more on the relationship in Box than in either of the Pearson biographies. E. S. Pearson was reticent on the relationship, because the events were too recent and the people too close, and, though Porter has some discussion, he is more interested in earlier formative events in his subject’s life.
Egon S. Pearson (1936/8) Karl Pearson: An Appreciation of Some Aspects of his Life and Work, In Two Parts, Biometrika, 28, 193-257, 29, 161-247. JSTOR, JSTOR (Published as a book by Cambridge University Press, in 1938.)
Theodore M. Porter (2004) Karl Pearson: the Scientific Life in a
Statistical Age.
Pearson (1968)
contains important documents and a valuable commentary. Other
general discussions include:
A. W. F. Edwards (1994)
Fisher’s
letters to Pearson from 1933 to -35 are available on the
There were many points at issue between Fisher and Pearson. On the genetic side see Provine and
B. Norton and Pearson, E.
S. (1976) A Note on the Background to and Refereeing of
Fisher
(1918) reconciled Mendelism and Biometry. Morrison tries to identify the
assumptions behind Fisher’s reconciliation and those behind Pearson’s rejection
of reconciliation.
M. Morrison (2002) Modelling Populations:
Pearson and Fisher on Mendelism and Biometry, British Journal for the Philosophy of Science, 53, 39-698.
On
the statistical side see Hald, Lancaster (1969), Aldrich (1997) and Stigler (2005) as
well as
S. E. Fienberg (1980) Fisher’s
Contribution to Categorical Data, pp. 75-84 in Fienberg &
Hinkley.
D. Baird (1983) The Fisher/Pearson
Chi-Squared Controversy: A Turning Point for Inductive Inference, British Journal for the Philosophy of
Science, 34, 105-118. JSTOR
H. F. Inman (1994) Karl Pearson and
For more on Pearson see Karl
Pearson: A Reader’s Guide. 2007 is the sesquicentenary of Pearson’s birth
and the anniversary will doubtless generate discussion of the relationship
between Pearson and Fisher.
Fisher and Leonard Darwin see biographical sketch
L. H. Darwin (1850–1943)
had a strong influence on Fisher and on the course of his career. From Box‘s
account he was like a surrogate father.
Obituary (in Notes and Memoranda) Economic Journal, 53, 438-448 (1943) JSTOR
Another niece, Gwen Raverat, has a portrait
of Uncle Lenny in
Gwen Raverat
(1952) Period Piece: A
See also
A.
W. F. Edwards (2004) Leonard Darwin New
Dictionary of National Biography,
Fisher and
‘Student’ (W. S. Gosset) see
biographical sketch
Of the older statisticians the most sympathetic to Fisher was W. S. Gosset (1876-1937) St. Andrews; their relationship can be followed through the Letters. Their one public disagreement was about randomisation in experiments. Fisher greatly admired ‘Student’ (see the obituary) and gave him generous credit: ‘Student’s’ work had effected a “logical revolution”. The modest Gosset thought that “Fisher would have discovered it all anyway.” Their relationship is discussed by Box, Pearson (1968), and by
E. S. Pearson (1990) ‘Student’, A Statistical Biography of William Sealy Gosset, Edited
and Augmented by
There is a brief account of how Fisher transformed Student’s z-test into the modern t-test in the entry on Student’s t distribution on the Earliest known uses of some of the words of mathematics. There are several articles on the subject, including.
C. Eisenhart (1979) On the Transition
from `Students’ z to `Students’ t, American
Statistician, 33, 6-10. JSTOR
J. F.
J. F.
S. Senn and
Richardson, W. (1994) The First t-test, Statistics in
Medicine 13, 785–803.
E. L. Lehmann (1999) “Student” and Small-Sample
Theory, Statistical Science, 14, 418-426.
Lehmann’s article also considers
the disagreement between Fisher and Gosset over robustness, occasioned by E. S.
Pearson’s review of the 2nd edition of Fisher’s Statistical
Methods for Research Workers.
Their disagreement over randomization is considered by Senn.
After his death Gosset’s papers were collected:
‘Student’s’ Collected Papers (edited by E.S. Pearson and
John Wishart, with a foreword by Launce McMullen. 1942.
The publication provided an
opportunity to review Student’s contribution: see the reviews by Cochran Annals of
Mathematical Statistics, 15,
(1944), 435-438 JSTOR and Isserlis Journal of the
Royal Statistical Society, 106,
(1943), 278-279 JSTOR.
The Collected Papers volume does not
contain Gosset’s review of Statistical Methods for Research Workers
Student
(1926) Review of Statistical Methods for Research Workers (
2008 was the centenary of Student’s paper on “the probable error of a mean” and the anniversary is being remembered in journals and at conferences. The relationship between Student and Fisher is certain to get some attention. So far, see
J. A. Hanley, M. Julien & E. E. M. Moodie (2008) t Distribution Centennial: Student’s z, t, and s: What if Gosset had R? American Statistician, 62, 64-69.
S. L. Zabell (2008) On Student's 1908 paper “The probable error of a mean,” with comments by S. M. Stigler, J. Aldrich, A. W. F. Edwards, E. Seneta, P. Diaconis & E. L. Lehmann and rejoinder from Zabell, Journal of the American Statistical Association, 103, 1-20.
Ziliak and McCloskey, in their polemic against significance testing, cast Gosset as hero and Fisher as villain and emphasise the differences between them.
S. T. Ziliak
and D. N. McCloskey (2008) The Cult of
Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and
Lives,
The book is attracting attention and is being widely reviewed.
A. Spanos (2008) Review of Stephen Ziliak and Deirdre McCloskey’s The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives, Erasmus Journal for Philosophy and Economics, 1, (1). PDF . With reply by Ziliak and McCloskey. PDF
T. M. Porter (2008) Signifying Little, Science, 320, (June), 1292.
Fisher and Sewall Wright see biographical sketch and correspondence
In the 1920s Fisher and Wright
(1889-1988) (NAS Genetics student's
appreciation) seemed to be doing parallel work on evolutionary biology.
Later, however, the agreements seemed to count less than the differences. The “controversy” between them was set off by Fisher and Ford (1947). Box has some discussion of the relationship between Fisher
and Wright. Bennett reproduces their correspondence and provides a
commentary on it; a few of the letters are reproduced on the
W. B. Provine
(1986) Sewall Wright and Evolutionary
Biology.
J. F. Crow (1990) Sewall Wright's Place in Twentieth-century Biology, Journal of the History of Biology, 23, 57-89.
There are several articles on the controversy.
W. B. Provine
(1985) The
A. W. F. Edwards (1987) Evolution and Optimization. Nature, 326, 10.
A. W. F. Edwards (1987) What Fisher Meant. Nature, 329, 10.
M. J. S. Hodge (1992) Biology and Philosophy (including Ideology): a Study of Fisher and Wright. In Sarkar (1992), 231-293.
A. Plutynski (2005), Parsimony in the Fisher-Wright Debate, Biology and Philosophy, 20, 697-713.
Around 1930 Harold Jeffreys
(1891-1989) geophysicist and applied
mathematician began applying his version of the Bayesian argument to
statistics. Fisher (1932)
pounced on him for perpetrating a “howler”. Lane describes the 1932-4 dispute,
Howie places it in the intellectual biographies of the protagonists and in the
conflict between alternative conceptions of probability, while Aldrich (2004)
is a quick survey; Aldrich (2005) gives an account of Jeffreys’s statistical
career. Fisher and Jeffreys never agreed about the validity of the Bayesian
approach but their relationship mellowed into one of relaxed toleration. Their
developing relationship can be followed in the letters in Bennett (1990); the
letters are reproduced on the
Harold Jeffreys (1974) Fisher and Inverse Probability, International Statistical Review, 42, 1-3.
David Howie (2002) Interpreting Probability:
Controversies and Developments in the Early Twentieth Century,
John Aldrich (2004) Harold Jeffreys and R. A. Fisher, ISBA Bulletin, 11, (June), 7-9.
John Aldrich (2005) The Statistical Education of Harold Jeffreys, International Statistical Review, 73, 289-307.
Bertha Swirles (Lady Jeffreys) (1991) Harold Jeffreys: Some Reminiscences, Chance, 4, 22-26.
John Aldrich (2002) How Likelihood and Identification went Bayesian, International Statistical Review, 70, 79-98.
See also Zabell (1992), Barnard (1992) and Aldrich (2008).
For more on Jeffreys and the controversy see Harold Jeffreys as Statistician.
The reviews include: Barnard Biometrics 39, (Dec., 1983), 1121, JSTOR; David Journal of the American Statistical Association, 79, (Sep., 1984), 728-729, JSTOR; Hogg College Mathematics Journal, 15, (Jan., 1984), 82-84, JSTOR; Kotz American Mathematical Monthly, 92, (Mar., 1985), 219-223, JSTOR. Efron Science, New Series, 220, (May, 1983), 827-828, JSTOR, has most to say about the scientific issues at stake while Yates Journal of the Royal Statistical Society, A, 147, (No. 1 1984), 116-118, JSTOR has most to say about the Fisher-Neyman relationship (from Fisher’s point of view).
For a time Fisher and Neyman were both teaching at UCL. Churchill Eisenhart (1913-1994), a Neyman student who attended Fisher’s lectures, left a vivid account of the conflicts involved in
Ingram Olkin (1992) A Conversation with Churchill Eisenhart. Statistical Science, 7, 514-5. JSTOR
Neyman gave his own account of his relations with Fisher
J. Neyman (1961) The Silver
Jubilee of My Dispute with Fisher, Journal
of the Operations Research Society of
Neyman gave an overall judgement of Fisher’s work when he
reviewed the Contributions volume
J. Neyman (1951) Fisher’s Collected Papers: Contributions to Mathematical Statistics, Scientific Monthly, 72, No. 6, 406-408. JSTOR
Fisher
answered Neyman’s accusations that he had not acted in “good faith” in a letter
to P. H. H. (Horace) Gray. Neyman wrote a second assessment after Fisher’s
death: Neyman (1967).
Fisher
thought of Neyman as a meddling mathematician with no experience of science and criticised him in the JRSSB
(1955) article “Statistical Methods and Scientific Induction”
(JSTOR)
and in Statistical
Methods and Scientific
Inference.
Fienberg and Tanur consider
parallels and divergences in the work of Fisher and Neyman on experiments and
surveys
S. E. Fienberg & J. M. Tanur (1996) Reconsidering the Fundamental Contributions of Fisher and Neyman on Experimentation and Sampling. International Statistical Review 64, 237-253.
Lehmann
considers the compatibility of the Fisher and Neyman views of testing in
E. L. Lehmann (1993) The Fisher, Neyman-Pearson
Theories of Testing Hypotheses: One Theory or Two? Journal of the American Statistical Association, 88, 1242-1249. JSTOR
See
also Hacking (1965), Zabell (1992) and Aldrich (2000).
Senn considers their dispute over additivity in the analysis of
variance:
Fisher’s
significance for others
Fisher was significant for everyone who came into Statistics in the English-speaking world—at least—in the 1920s, 30s, and 40s. The case of Jimmie Savage was typical: he learnt the subject from Fisher’s Statistical Methods for Research Workers and he later met and corresponded with Fisher. See Rereading Fisher.
The writings listed here
relate to individuals who knew Fisher and for whom Fisher was an important part
of their story—mainly students and junior
colleagues. They are prominent in the ranks of the authors of Obituaries Fisher lectures Papers on
genetics
Papers on
statistics.
Few people learnt Statistics from
Fisher—at least in the conventional way. Rothamsted was a research station and
Fisher was professor of genetics in
E. S. Pearson (1957) John Wishart 1898-1956, Biometrika, 44, 1-8. JSTOR
D. J. Finney
(1995) Frank Yates, Biographical Memoirs
of Fellows of the Royal Society of
Healy (1995) on Yates.
W. L. Smith
(1978) Harold Hotelling 1895-1973, Annals
of Statistics, 6, 1173-1183. JSTOR
K. J. Arrow & E. L. Lehmann (2005) Harold Hotelling 1895-1973, National Academy of Sciences, 87, 1-15.
Gertrude M. Cox; Paul G. Homeyer (1975) Professional and Personal Glimpses of
George W. Snedecor, Biometrics, 31,
265-301. JSTOR
P. A. P. Moran memoir of
E. A. Cornish for the
P. Deheuvels (1990) Daniel Dugué, Journal of the Royal Statistical Society A, 153, 99-100. JSTOR
M. H. DeGroot (1988) A
Conversation with George A. Barnard, Statistical
Science, 3, 196-212. JSTOR
D. V.
Lindley (2003) Professor George A. Barnard (1915-2002), The Statistician,
52, 231-234.
M. H. DeGroot
(1987) A Conversation with C.
A. K. Bera
(2003) The ET Interview: Professor C.
For
I. Olkin (1989) A Conversation with Maurice Bartlett, Statistical Science, 4, 151-163. JSTOR
J. Gani (ed) (1982) The Making of Statisticians,
The
Gani volume also has an autobiography by D. J. Finney who was at Rothamsted in
the Yates era.
Darmois,
Irwin, Hotelling and Snedecor are in the Statisticians of the Centuries volume. The people mentioned in this section
appear among Fisher’s correspondents in Bennett (1990),
though some, like, Yates saw him so often they did not really need letters.
In biology Fisher’s most important collaborator was
E.
B. Ford (Papers in the Bodleian). Their
partnership began when Fisher was at Rothamsted and Ford was an undergraduate
at
E. B. Ford (2005)
B. Clarke (1995) Edmund Brisco Ford, Biographical Memoirs of Fellows of the Royal Society, 41, 147-168.
Joe Cain (2001) Ford, Edmund Brisco, Encyclopedia of Life Sciences available to subscribing institutions at http://www.els.net/
D. Lewis (1992) Sir Kenneth Mather, Biographical Memoirs of Fellows of the Royal Society, 38, 249-266.
C. Clarke (1985) Robert Russell Race, Biographical Memoirs of Fellows of the Royal Society, 31, 445-492.
J. Cullen (1995) Sir George Taylor, Biographical Memoirs of Fellows of the Royal Society, 41, 459-469.
Witness Seminar (Oral History); The Rhesus Factor and Disease Prevention (2003).
See the Bill Hamilton website for evidence of Fisher’s influence on him. See also A. Grafen (2004) Willam Donald Hamilton,. Biographical Memoirs of Fellows of the Royal Society, 50, 109-132. here
_____________________________________________________
Papers on Statistics see
also Pearson Student Neyman Jeffreys Fisher
lectures
Apart
from the Mahalanobis 1938 biography and the 1951 anniversary pieces for the
publication of the Statistical Methods
for Research Workers, all the articles date from after Fisher’s death. A few
are modern treatments of Fisher topics. The links are mostly to JSTO
Aldrich, J.
(1997)
Aldrich, J. (2000)
Fisher’s “Inverse Probability” of 1930, International
Statistical Review, 68, 155-172. pdf
Aldrich,
J. (2003) The Language of the English Biometric School, International
Statistical Review, 71, 109-131. pdf
Aldrich, J. (2005) Fisher and Regression, Statistical Science, 20, 401-417. pdf
Aldrich,
J. (2007) Information
and Economics in Fisher’s Design of Experiments, International Statistical Review, 75, 131-149.
Aldrich, J. (2008)
Aldrich,
J. (2008) Keynes
among the Statisticians, History of
Political Economy, 40,
265-316.
Aldrich,
J. (2009) Burnside’s Engagement with the “Modern Theory of Statistics”. Archive
for History of Exact Sciences, 63
(1), 51-79.
Aldrich, J. (2009) England and Continental Probability in the Inter-War Years Journal Electronique d'Histoire des Probabilités et de la Statistique December. pp. 24.
Aldrich,
J. (2010) The Econometricians' Statisticians 1895-1945. History of Political Economy, 42, (1), 111-154.
Armitage, Peter (2003) Fisher, Bradford Hill, and Randomization, International Journal of Epidemiology, 32,
925-928.
Barnard, G. A. (1987) R. A. Fisher—A True Bayesian? International Statistical Review, 55, 183-189.
Barnard, G. A. (1990) Fisher: a Retrospective (with discussion), Chance, 3, 22-32.
Barnard, G. A. (1995) Pivotal Models
and the Fiducial Argument, International
Statistical Review, 63, 309-323.
Barnard,
G. A. & D. A. Sprott (1983) The
Generalised Problem of the
Basu, D. (1980) Randomization Analysis of Experimental Data: The Fisher
Randomization Test, (with discussion by D. V. Hinkley, O. Kempthorne, D. A. Lane,
D. V. Lindley and D. B. Rubin) Journal of the American Statistical
Association, 75, 575-595. JSTOR
Bennett, J.
H. (1991)
Bingham, C. (1980) Distribution on the
Sphere, pp. 171-181 of Fienberg & Hinkley.
Bliss, C. I. (1964)
Bodmer, Walter (2003) RA Fisher, statistician and geneticist
extraordinary: a personal view, International Journal of
Epidemiology, 32, 938-942.
Box, J. F. (1980) Fisher: the Early
Years, pp. 35-45 of Fienberg & Hinkley.
Box, J. F. (1980)
Box, J. F. (2005) A
Reminiscence of
Buehler,
Chalmers, Iain (2003) Fisher and Bradford Hill: theory and pragmatism? International Journal of Epidemiology, 32, 922-924.
Clarke, C.
(1991) Invited Commentary on
Cochran, W. G. (1980) Fisher and the
Analysis of Variance, pp. 17-34 of Fienberg & Hinkley.
Cook,
Conniffe, D. (1992) Keynes on Probability
and Statistical Inference and the Links to Fisher,
Cornish, E. A. (1964) Fisher’s Activities
in
Cox, N. J. (2008) Speaking Stata:
Correlation with confidence, or Fisher's z
revisited, Stata Journal, 8, 413-439.
Das Gupta, S.
(1980) Distribution of the Correlation Coefficient, pp. 9-16 of Fienberg & Hinkley.
Das Gupta, S. (1980) Discriminant
Analysis, pp. 9-16 of Fienberg & Hinkley.
Dawid, A. P. (1991) Fisherian Inference
in Likelihood and Prequential Frames of Reference (with discussion), Journal of the Royal Statistical Society,
Series B, 53,79-109. JSTOR
Denis,
D. J. (2004) The Modern Testing Hybrid:
Doll, Richard (2003) Fisher and Bradford Hill: their personal impact, International
Journal of Epidemiology, 32, 929-931.
Edwards, A.
W. F. (1978)
Edwards, A.W.F. (1993) Galton,
Karl Pearson and modern statistical theory. In Sir Francis Galton F.
Edwards,
A.W.F. (1993) John Venn and
Edwards, A. W. F. (1996) The Early
History of the Statistical Estimation of Linkage, Annals of Human Genetics,
60, 237-249.
Edwards, A.W.F. (1997) Three Early Papers on Efficient Parametric Estimation. Statistical Science 12, 35-47. JSTOR
Edwards, A. W. F. (1997) What Did Fisher
Mean by `Inverse Probability’ in 1912-22?, Statistical
Science, 12, 177-184. JSTOR
Edwards,
A. W. F (2005) “
Efron, B. & D. V. Hinkley (1978) Assessing the
Accuracy of the Maximum Likelihood Estimator: Observed Versus Expected Fisher
Information, Biometrika, 65, 457-482.
Fienberg, S.E. (1980) Fisher's Contributions to the Analysis of Categorical Data, pp. 75-84 of Fienberg & Hinkley.
Fienberg, S.E. (1997) Introduction to
Finney, D. J. (1964) Sir Ronald Fisher’s
Contribution to Biometric Statistics, Biometrics,
20, 322-329. JSTOR
Geisser, S.
(1980) Basic Theory of the 1922 Mathematical Statistics Paper, pp. 59-66 of Fienberg & Hinkley.
Gower, J. C. (1990) Fisher’s Optimal Scores and Multiple Correspondence Analysis. Biometrics, 46, 947-961. JSTOR
Hald, A (1999) On the History of Maximum Likelihood in Relation to Inverse Probability and Least Squares, Statistical Science, 14, 214-222.
Hall, N. S. (2007)
Healy,
M. J.
Hinkley, D. V. (1980) Theory of
Statistical Estimation: the 1925 Paper, pp. 85-94 of Fienberg
& Hinkley.
Hinkley, D. V. (1980) Fisher’s
Development of Conditional Inference, pp. 101-108 of Fienberg & Hinkley.
Holschuh, N. (1980) Randomization and
Design: I, pp. 35-45 of Fienberg
& Hinkley.
Hotelling, H.
(1951) The Impact of
Johnstone,
D. J. (1987) Tests of Significance Following
Lehmann E. L. (1990) Model Specification: The
Views of Fisher and Neyman, and Later Developments, Statistical Science, 5,
pp. 160-168. JSTOR
Lenhard, J. (2006) Models and Statistical Inference: The Controversy between Fisher and Neyman-Pearson, British Journal for the Philosophy of Science, Advance Access published on January 3, 2006.
Li, C. C. (1968) Fisher, Wright and
Path Coefficients, Biometrics, 24, 471-483. JSTOR.
Ludbrook, J. (2005)
Mahalanobis, P. C. (1938) Professor Ronald Aylmer Fisher, Sankhya, 4, 265-272.
Marks, Harry M (2003) Rigorous uncertainty: why RA Fisher is important, International Journal of Epidemiology, 32, 932-937.
Mather, K. (1951)
Pearce,
S. C. (1979) Experimental Design:
Perdersen, J. G. (1978) Fiducial
Inference, International Statistical
Review, 46, 147-170.
Picard,
Pratt, J. W. (1976) F. Y. Edgeworth and
Preece, D.A. (1990)
Rao, C.
Rao, C.
Runger, G. (1980) Some Numerical
Illustrations of Fisher’s Theory of Statistical Estimation, pp. 95-100 of Fienberg & Hinkley.
Seal, H. (1967) The Historical Development of the Gauss
Linear Model, Biometrika, 54, 1-24. JSTOR
Seidenfeld, T. (1992)
Seidenfeld, T. (1992)
Senn, S. (1994) Fisher’s Game
with the Devil, Statistics in Medicine
13, 217-230.
Senn, S. (2006) An Early
“Atkins’ Diet”:
Speed, T. P. (1987) What is an Analysis
of Variance? (with discussion), Annals of
Statistics, 15, 885-941. JSTOR
Stigler, S. M. (1973).
Stigler, S.M. (1999) The
Foundations of Statistics at Stanford, American
Statistician 53, 263–266.
Stigler S. M.
(2001) Ancillary History, in M. C. M. de Gunst, C. A. J. Klaassen, A. W. van
der Vaart, (eds.), State of the Art in
Probability and Statistics; Festschrift for Willem
Stigler
S. M. (2005) Fisher in 1921, Statistical Science,
20, 32-49. Project
Euclid
Stigler, S. M. (2006) How Ronald Fisher became
a mathematical statistician, Mathématiques et sciences humaines, n° 176, Winter 2006, special issue:
Contribution to the history of probabilities. Tribute issue to Bernard Bru.
Stigler, S. M. (2007) The Epic
Story of Maximum Likelihood, Statistical
Science, 22, (4), 598-620 Project Euclid
Stigler, S. M. (2008) Fisher and the
5% Level, Chance, 21, (4), 12.
Stolley, P. D.
(1991) When Genius Errs:
Street, D. J. (1990) Fisher’s Contributions to Agricultural Statistics. Biometrics, 46, 937-945. JSTOR
Thompson, E.
A. (1990)
Wallace, D. L.
(1980) The Behrens-Fisher and Fieller-Creasy Problems, pp. 119-147 of Fienberg & Hinkley.
Welsh, A. H. and J. Robinson
(2005) Fisher and Inference for Scores, International
Statistical Review, 73, 131-150.
Wynder, E. L.
(1991) Re: “When Genius Errs:
Yates, F. (1951)
The Influence of Statistical Methods for
Research Workers on the Development of the Science of Statistics, Journal of the American Statistical
Association, 46, 19-34. JSTOR
Yates, F. (1964) Sir Ronald Fisher and
the Design of Experiments, Biometrics,
20, 307-321. JSTOR
Yates, F. (1964) Fiducial Probability,
Recognisable Sub-sets and Behrens’ Test, Biometrics,
20, 343-360. JSTOR
Yates, F. (1975) The Early History of
Experimental Design, pp. 581-595 of J. Srivastava (ed) A Survey of Statistical Design and Linear Models,
Youden, W. J. (1951) The Fisherian
Revolution in Methods of Experimentation, Journal
of the American Statistical Association, 46, 47-50. JSTOR
Zabell, S.
(1989)
Zabell, S. (1992)
Papers on Genetics, Eugenics and Evolutionary Biology see also Pearson
Wright Fisher lectures
Ao, P. (2005) Laws of Darwinian
Evolutionary Theory, Physics of Life
Reviews, 2, 117-156.
Band, H. T.
(2000) Sir Ronald Fisher and Natural Selection, Trends in Ecology &
Evolution, Apr 200.
Bartley, M. M. (1994) Conflicts in Human
Progress: Sexual Selection and the Fisherian “Runaway,” British Journal for the History of Science, 27, 177-196.
Bodmer, W. F. (1992) Early British
Discoveries in Human Genetics: Contributions of
Cain, A.J. (1988) A Criticism of J. R. G.
Turner’s Article “Fisher's Evolutionary Faith and the challenge of Mimicry”.
Crow, J.F. (1990)
Crow, J.F. (2002) Here’s to Fisher, Additive Genetic Variance, and the Fundamental Theorem of Natural Selection. Evolution, 56, 1313-1316. JSTOR
Edwards, A. W. F. (1990) Fisher, W, and the Fundamental Theorem. Theoretical Population Biology, 38, 276-284.
Edwards, A.W.F. (1990)
Edwards, A.W.F. (1994) The Fundamental Theorem of Natural Selection. Biological Reviews 69, 443-474.
Edwards, A. W. F. (1996) W. D. Hamilton’s Darwinian Predecessors, TLS 6th December, reprinted in Galton Institute Newsletter, (June, 1997) here.
Edwards, A. W. F. (1998) The Eugenics Society and the
Development of Biometry. The 1997 Galton Lecture,
Edwards, A. W. F. (1998) Natural Selection and the Sex Ratio: Fisher’s Sources, American Naturalist 151, 564-569.
Edwards, A. W. F. (2000) The Genetical Theory of Natural Selection.
In Perspectives, ed. J. F. Crow and W. F. Dove. Genetics 154, 1419–1426. Genetics Online
Edwards, A. W. F. (2000) Fisher
Information and the Fundamental Theorem of Natural Selection. Rendiconti (B) Istituto Lombardo di Scienze
e Lettere, Milano.
Edwards, A. W. F. (2000) Carl
Düsing (1884) on the Regulation of the Sex-ratio, Theoretical Population Biology, 58, 255-257.
Edwards, A. W. F. (2001) Darwin
and Mendel United: the Contributions of Fisher, Haldane and Wright up to 1932.
In Encyclopedia of Genetics, ed. E.
C. R. Reeve,
Edwards, A. W. F. (2005) Linkage
Methods in Human Genetics before the Computer, Human Genetics, 118,
515-30.
Edwards, A. W. F. (2007)
Frank, S.
A. and Slatkin, M. (1992) Fisher’s Fundamental Theorem of
Natural Selection. Trends in Ecology and
Evolution 7, 92-95.
Gould, S.
J. (1996) The Smoking Gun of Eugenics. In S. J. Gould (ed.) Dinosaur in a Haystack: Reflections in
Natural History (pp. 296-308).
Grafen, A. (2003) Fisher the Evolutionary Biologist, Statistician (Journal of the Royal Statistical Society, Series D), 52 (3), 319-330.
Karlin, S. (1992)
Kempthorne, O.
(1974) A Review of Collected Papers of
Leigh, E.
G. jr. (1986) Ronald Fisher and the Development of Evolutionary Theory. I.
The Role of Selection.
Leigh, E. G. jr. (1987) Ronald
Fisher and the Development of Evolutionary Theory. II. Influences of New
Variation on Evolutionary process.
Leigh, E. G. (1999) The Modern Synthesis, Ronald Fisher and
Creationism, Trends in Ecology &
Evolution,
Mayo, O. (1990)
Mooney, S. M.
(1995) H. J. Muller and
Moore, J. (2007) R. A. Fisher: A Faith Fit for Eugenics, Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 38 (1), 110-135.
Moran, P.
A. P. and Smith, C. A. B. (1966) Commentary on
Morrison, M. (2002) Modeling Populations: Pearson and Fisher on Mendelism and Biometry, British Journal for the Philosophy of Science, 53, 39-68.
Morrison, M. (2006) Unification, Explanation and Explaining Unity: The Fisher-Wright Controversy, British Journal for the Philosophy of Science, 57 (1), 233-245.
Norton, B.J. (1975) Metaphysics and Population Genetics: Karl Pearson and the background to Fisher’s multi-factorial theory of inheritance. Annals of Science, 32, 537-553.
Norton, B.J.
(1978) Fisher and the Neo-Darwinian Synthesis. E. G. Forbes (ed.), Human Implications of Scientific Advance.
Proceedings of the XVth International Congress of the History of Science. Edinburgh: Edinburgh University Press, pp.
481–494.
Norton, B.J. (1981) La Situation Intellectuelle au Moment des Débuts de Fisher en Génétique
des Populations. Revue de Synthèse
IIIe serie, 103-104, 230-250.
(and others in this special number
Norton, B. (1983)
Fisher’s Entrance into Evolutionary Science: the Role of Eugenics. Dimensions of Darwinism. Themes and
Counterthemes in Twentieth Century Evolutionary Theory (ed. M. Grene),
19-29.
Novitski, E. (2004) On Fisher's Criticism of Mendel's Results With the Garden Pea, Genetics, 166, 1133-1136
O’Donald, P. (1990) Fisher’s Contributions to the Theory of Sexual Selection as the Basis of Recent Research. Theoretical Population Biology, 38, 285-300.
S. Okasha (2008) Fisher’s Fundamental Theorem of Natural Selection—A Philosophical Analysis, British Journal for the Philosophy of Science, 59 (3), 319 - 351.
Piegorsch, W.
W. (1990) Fisher’s Contributions to Genetics and Heredity,
with Special Emphasis on the Gregor Mendel Controversy. Biometrics 46, 915-924. JSTOR
Plutynski, A. (2005) Explanatory Unification and the Early Synthesis, British Journal for the Philosophy of Science, 56, 595-609.
Plutynski, A. (2006) What was Fisher’s Fundamental Theorem of Natural Selection and What was It for? Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 37, 59-82.
Provine, W. B. (1978) The Role of Mathematical Population Geneticists in the Evolutionary Synthesis of the 1930s and 1940s. Studies in the History of Biology 2, 167-192.
Provine, W. B. (1990) Population Genetics (reprint of papers by Fisher, Haldane, and Wright, with an introduction). Bulletin of Mathematical Biology, 52, 201-318 (Special issue Classics of Theoretical Biology, Part I).
Race,
Sarkar, S. (2004)
Evolutionary Theory in the 1920s: The Nature of the “Synthesis”, Philosophy
of Science, 71, 1215–1226.
Tabery, J. (2004) The “Evolutionary Synthesis” of George Udny Yule, Journal of the History of Biology, 37(1), 73-101.
Tabery, J.
(2008) R. A. Fisher, Lancelot Hogben, and the Origin(s) of Genotype–Environment
Interaction, Journal of the History of Biology, 41, 717–761.
Turner, J.
Turner, J.
Turner, J.
Watt, D. C.
(2000) C P Blacker, R A Fisher and L Penrose on Eugenic Fundamentals, Galton Institute Newsletter, Parts I
and II.
Welling, F. (1986) What about
Williams, C. B. (1964) Some Experiences
of a Biologist with
Wooding, S. (2006)
Phenylthiocarbamide: A 75-Year Adventure in Genetics and Natural Selection, Genetics, 172, 2015-2023. Genetics Online
These
books, in one way or another, take Fisher as their starting point. They
illustrate how Fisher continued to influence developments even after his long
life had ended. Although the books present the authors’ own ideas, they often
have interesting things to say about Fisher’s ideas.
T. Seidenfeld,
(1979) Philosophical Problems of
Statistical Inference: Learning from
A
philosopher attempts to develop Fisher’s ideas on fiducial probability.
A. W.F. Edwards
(1972/1992) Likelihood (Expanded
Edition, with a new preface),
An
attempt to develop Fisher’s ideas on likelihood.
I. Hacking (1965) Logic
of Statistical Inference,
A
philosopher attempts to reconstruct the foundations of Statistics, taking issue
with some of Fisher’s ideas, while developing others.
B. R. Frieden (1998) Physics
from Fisher Information: A Unification,
This book attempts to develop physical theory on the basis of Fisher information.
D. A. S.
Fraser (1968) The
Structure of Inference,
An early instalment of a continuing project of reconstructing fiducial inference.
O. E. Barndorff-Nielsen. & D. R. Cox (1994) Inference and Asymptotics,
A continuing project to develop
the conditional inference first proposed by Fisher in his 1934 Two New Properties of Mathematical Likelihood.
R. Royall (1997) Statistical
Evidence: A Likelihood Paradigm.
J. K. Ghosh (ed) (1988) Statistical Information and Likelihood: A Collection of Critical Essays
by Dr. D. Basu,
Basu’s critical essays on Fisherian themes: ancillarity, likelihood, randomisation.
There
are Fisher memorial lecture series in the
Anscombe, F. J. (1982) How Much to Look at the Data, Utilitas Mathematica, 21A, 23-28.
fff Bartlett,
M. S. (1965)
Berger, J. (2003) Could Fisher,
Jeffreys and Neyman Have Agreed Upon Testing? Statistical Science, 18,
1-32 (2003). Euclid.
fff Bodmer, W.F. (1990) Genetic
Sequences, Proceedings of the Royal
Society B, 241, 85-92. JSTOR
fff Box, G. E. P. (1976) Science and Statistics, Journal of the American Statistical Association, 71, 791-799. JSTOR
Box, G. E. P. (1989) Quality Improvement: an Expanding Domain for the Application of Scientific Method. Philosophical Transactions of the Royal Society A, 327, 617–630. JSTOR
Breslow, N.E. (1996) Statistics
in Epidemiology: the Case-control Study. In
Advances in Biometry, ed. Armitage, P. and David, H. A.,
Brillinger, D.
Chernoff, H. (1980) The Identification of an Element of a Large Population in the Presence of Noise, 8, 1179-1197. JSTOR
Cochran, W. G. (1973) Experiments for Nonlinear Functions” Journal of the American Statistical Association, 68, 771-781. JSTOR
Cook,
Cox, D.
Daniel, C. (1973) One-at-a-time
Plans, Journal of the American
Statistical Association, 68,
353-360. JSTOR
Dempster, A. P. (1998) Logicist Statistics. 1. Models and Modeling. Statistical Science, 13, 248–276.
fff Doll,
fff Edwards, A. W. F. (1995) Fiducial Inference and the Fundamental Theorem of Natural Selection. XVIIIth Fisher Memorial Lecture, Biometrics, 51, 799-809. JSTOR
fff Edwards, A. W. F. (1993) Mendel, Galton, Fisher. Australian Journal of Statistics, 35, 129-140.
Efron, B.
(1998)
Fienberg, S. E. (1981) Recent Advances in Theory and Methods for the Analysis of Categorical Data: Making the Link to Statistical Practice. Bulletin of the International Statistical Institute 49(2), 763-791.
Finney, D.J. (1979) Bioassay and the Practice of Statistical Inference. International Statistical Review 47, 1–12.
Fraser, D. A. S ( 1991) Statistical Inference: Likelihood to Significance. Journal of the American Statistical
Association, 86, 258-265. JSTOR
Goodman,
Healy,
M.J.
Kalbfleisch, J. D. (2000) The Estimating Function Bootstrap, Canadian Journal of Statistics, 30, 449-499.
Karlin, S. and Matessi, C. (1983) Kin Selection and Altruism. Proceedings of the Royal Society B, 219, 327–353. JSTOR
fff Kempthorne, O. (1966) Some Aspects of Experimental Inference, Journal
of the American Statistical Association, 61, 11-34. JSTOR
Mallows, C. (1998) The Zeroth problem. The American Statistician 52, 1-9.
fff Mayo, O. (2004) To What Extent has Fisher’s
Research Program been Fulfilled in Australia, Australian and New Zealand Journal of Statistics, 46(4), 517-529.
Mosteller, F.
(1989) Methods for Studying Coincidences (with P. Diaconis) Journal of the American Statistical Association, 84, 853-861. JSTOR
fff Rubin, D. B. (2005) Causal Inference Using Potential Outcomes: Design, Modeling, Decisions, Journal of the American Statistical Association, 100, 322-331.
fff Savage, L. J.
(1976) On Rereading
fff Speed, T. (2006) Recombination and Linkage, Presentation pdf (16MB)
Thompson, E. A. (1996) Likelihood and Linkage: from Fisher to the Future. Annals of Statistics 24, 449–465. JSTOR
Thompson, E.
A. (2007) 1953: An Unrecognised
Yates, F. (1966) Computers, the Second Revolution in Statistics, Biometrics 22, 233–251. JSTOR
_____________________________________________________
Fisher
A collection of Fisher quotations compiled by A.W. F. Edwards
Fisher’s notes on the classification of the Rhesus blood groups
The syllabus for George Casella’s course (Statistical) Fisher in the 21st century
My other Fisher sites (referred to in this document)
Ronald
Fisher’s childhood home
Likelihood
and Probability in R. A. Fisher’s Statistical Methods for Research Workers
Student’s
review of Fisher’s Statistical Methods
E. S.
Pearson’s reviews of Fisher’s Statistical
Methods
Leon
Isserlis’s review of Fishers’ Statistical Methods
Nature
review of Fisher’s Statistical Methods
BMJ
review of Fisher’s Statistical Methods
General
Peter Lee’s History of Statistics has many interesting links.
For recent literature Recent Publications in the History of Probability and Statistics at the JEHPS.
Peter Cameron’s Encyclopaedia of Design Theory treats a subject Fisher revolutionised.
Paul Handford’s Brief History of Population Genetics has a section on Fisher.
The Current Index to Statistics is useful for Fisher topics. There is free access to its pre-1996 entries
MedHist the Wellcome Library’s gateway to internet resources for the history of medicine has sections on genetics and eugenics.
My Figures from the History of Probability and Statistics has a sketch of the history of probability and statistics and notes on some of the key people.