Early life and education[edit] As a child Inverforth House North End Way NW3, where Fisher lived from 1896 to 1904 Fisher was born in East Finchley in London, England, into a middle class household; his father, George, was a successful partner in Robinson & Fisher, auctioneers and fine art dealers.[9] He was one of twins with the other being still-born[10] and grew up the youngest with three sisters and one brother.[11] From 1896 until 1904 they lived at Inverforth House in London, where English Heritage installed a blue plaque in 2002, before moving to Streatham.[12] His mother, Kate, died from acute peritonitis when he was 14, and his father lost his business 18 months later.[9] Lifelong poor eyesight caused his rejection by the British Army for World War I,[13] but also developed his ability to visualize problems in geometrical terms, not in writing mathematical solutions, or proofs. He entered Harrow School age 14 and won the school's Neeld Medal in mathematics. In 1909, he won a scholarship to study Mathematics at Gonville and Caius College, Cambridge. In 1912, he gained a First in Astronomy.[14] In 1915 he published a paper The evolution of sexual preference[15] on sexual selection and mate choice.

Career[edit] From 1913-1919, Fisher worked for six years as a statistician in the City of London and taught physics and maths at a sequence of public schools, at the Thames Nautical Training College, and at Bradfield College. There he settled with his new bride, Eileen Guinness, with whom he had two sons and six daughters.[16] In 1918 he published "The Correlation Between Relatives on the Supposition of Mendelian Inheritance", in which he introduced the term variance and proposed its formal analysis.[17] He put forward a genetics conceptual model showing that continuous variation amongst phenotypic traits measured by biostatisticians could be produced by the combined action of many discrete genes and thus be the result of Mendelian inheritance. This was the first step towards establishing population genetics and quantitative genetics, which demonstrated that natural selection could change allele frequencies in a population, resulting in reconciling its discontinuous nature with gradual evolution.[18] Joan Box, Fisher's biographer and daughter says that Fisher had resolved this problem already in 1911.[19] Rothamsted Experimental Station, 1919-1933[edit] In 1919, he began working at the Rothamsted Experimental Station for 14 years,[6] where he analysed its immense data from crop experiments since the 1840s, and developed the analysis of variance (ANOVA). In 1919, he was offered a position at the Galton Laboratory in University College London led by Karl Pearson, but instead accepted a temporary job at Rothamsted in Harpenden to investigate the possibility of analysing the vast amount of crop data accumulated since 1842 from the "Classical Field Experiments". He analysed the data recorded over many years and in 1921, published Studies in Crop Variation, and his first application of the analysis of variance ANOVA.[20] In 1928, Joseph Oscar Irwin began a three-year stint at Rothamsted and became one of the first people to master Fisher's innovations. Between 1912 and 1922 Fisher recommended, analyzed (with flawed attempts at proofs) and vastly popularized Maximum likelihood.[21] On graduating from Cambridge University, 1912 In 1913 The peacock tail in flight, the classic example of a Fisherian runaway Rothamsted Research Fisher's 1924 article On a distribution yielding the error functions of several well known statistics presented Pearson's chi-squared test and William Gosset's Student's t-distribution in the same framework as the Gaussian distribution and is where he developed Fisher's z-distribution a new statistical method, commonly used decades later as the F distribution. He pioneered the principles of the design of experiments and the statistics of small samples and the analysis of real data. In 1925 he published Statistical Methods for Research Workers, one of the 20th century's most influential books on statistical methods.[22] Fisher's method[23][24] is a technique for data fusion or "meta-analysis" (analysis of analyses). This book also popularized the p-value, and plays a central role in his approach. Fisher proposes the level p=0.05, or a 1 in 20 chance of being exceeded by chance, as a limit for statistical significance, and applies this to a normal distribution (as a two-tailed test), thus yielding the rule of two standard deviations (on a normal distribution) for statistical significance.[25] The 1.96, the approximate value of the 97.5 percentile point of the normal distribution used in probability and statistics, also originated in this book. "The value for which P=.05, or 1 in 20, is 1.96 or nearly 2 ; it is convenient to take this point as a limit in judging whether a deviation is to be considered significant or not."[26] In Table 1 of the work, he gave the more precise value 1.959964.[27] In 1928, Fisher was the first to use diffusion equations to attempt to calculate the distribution of allele frequencies and the estimation of genetic linkage by maximum likelihood methods among populations.[28] In 1930, The Genetical Theory of Natural Selection was first published by Clarendon Press and is dedicated to Leonard Darwin. A core work of the neo-Darwinian modern evolutionary synthesis,[29] it helped define population genetics, which Fisher founded alongside Sewall Wright and J. B. S. Haldane, and revived Darwins neglected idea of sexual selection.[30] One of Fischer´s favorite aphorisms was "Natural selection is a mechanism for generating an exceedingly high degree of improbability."[31] Fisher´s fame grew and he began to travel and lecture widely. In 1931, he spent six weeks at the Statistical Laboratory at Iowa State College where he gave three lectures per week, and met many American statisticians, including George W. Snedecor. He returned there again in 1936.[citation needed] University College London, 1933-39[edit] In 1933, Fisher became the head of the Department of Eugenics at University College London.[32] In 1935, he published by The Design of Experiments, which was "also fundamental, [and promoted] statistical technique and application... The mathematical justification of the methods was not stressed and proofs were often barely sketched or omitted altogether .... [This] led H.B. Mann to fill the gaps with a rigorous mathematical treatment".[22][33] In this book Fisher also outlined the Lady tasting tea, now a famous design of a statistical randomized experiment which uses Fisher's exact test and is the original exposition of Fisher's notion of a null hypothesis.[34][35] The same year he also published a paper on fiducial inference[36][37] and applied it to the Behrens–Fisher problem, the solution to which, proposed first by Walter Behrens and a few years later by Fisher, is the Behrens–Fisher distribution. In 1936 he introduced the Iris flower data set as an example of discriminant analysis.[38] In his 1937 paper The wave of advance of advantageous genes he proposed Fisher's equation in the context of population dynamics to describe the spatial spread of an advantageous allele and explored its travelling wave solutions.[39] Out of this also came the Fisher–Kolmogorov equation.[40] In 1937, he visited the Indian Statistical Institute in Calcutta, and its one part-time employee, P. C. Mahalanobis, often returning to encourage its development. He was the guest of honour at its 25th anniversary in 1957, when it had 2000 employees.[41] In 1938, Fisher and Frank Yates described the Fisher–Yates shuffle in their book Statistical tables for biological, agricultural and medical research.[42] Their description of the algorithm used pencil and paper; a table of random numbers provided the randomness. University of Cambridge, 1940-1956[edit] In 1943, along with A.S. Corbet and C.B. Williams he published a paper on relative species abundance where he developed the logseries to fit two different abundance data sets[43] In the same year he took the Balfour Chair of Genetics where the Italian researcher Luigi Luca Cavalli-Sforza was recruited in 1948, establishing a one-man unit of bacterial genetics. In 1936, Fisher used a Pearson's chi-squared test to analyze Mendel's data and concluded that Mendel's results with the predicted ratios were far too perfect, suggesting that adjustments (intentional or unconscious) had been made to the data to make the observations fit the hypothesis.[44] Later authors have claimed Fisher's analysis was flawed, proposing various statistical and botanical explanations for Mendel's numbers.[45][46] In 1947, Fisher cofounded the journal Heredity with Cyril Darlington and in 1949 he published The Theory of Inbreeding. In 1950 he published "Gene Frequencies in a Cline Determined by Selection and Diffusion"[47] on the wave of advance of advantageous genes and on clines of gene frequency, being notable as the first application of a computer, the EDSAC, to biology.[citation needed] He developed computational algorithms for analyzing data from his balanced experimental designs,[48] with various editions and translations, becoming a standard reference work for scientists in many disciplines. In ecological genetics he and E. B. Ford showed how the force of natural selection was much stronger than had been assumed, with many ecogenetic situations (such as polymorphism) being maintained by the force of selection. During this time he also worked on mouse chromosome mapping; breeding the mice in laboratories in his own house.[49] Fisher publicly spoke out against the 1950 study showing that smoking tobacco causes lung cancer, arguing that correlation does not imply causation.[50][51][52][53][54][55] To quote his biographers Yates and Mather, "It has been suggested that the fact that Fisher was employed as consultant by the tobacco firms in this controversy casts doubt on the value of his arguments. This is to misjudge the man. He was not above accepting financial reward for his labours, but the reason for his interest was undoubtedly his dislike and mistrust of puritanical tendencies of all kinds; and perhaps also the personal solace he had always found in tobacco."[2] He gave the 1953 Croonian lecture on population genetics.[56] In the winter of 1954–1955 Fisher met Debabrata Basu, the Indian statistician who wrote in 1988, "With his reference set argument, Sir Ronald was trying to find a via media between the two poles of Statistics – Berkeley and Bayes.[57] My efforts to understand this Fisher compromise led me to the likelihood principle".[58] Adelaide, 1957-1962[edit] Memorial plaque over his mortal remains, lectern-side aisle of St Peter's Cathedral, Adelaide In 1957, a retired Fisher emigrated to Australia, where he spent time as a senior research fellow at the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Adelaide. He died there in 1962, and his remains were interred within St Peter's Cathedral.[59]

Personal life and beliefs[edit] He married Eileen Guinness, with whom he had two sons and six daughters.[16] His marriage disintegrated during World War II, and his oldest son George, an aviator, was killed in combat.[60] His daughter Joan, who wrote a biography of her father, married the noted statistician George E. P. Box.[61] Stained glass window in the dining hall of Caius College, in Cambridge, commemorating Ronald Fisher and representing a Latin square, discussed by him in The Design of Experiments According to Yates and Mather, "His large family, in particular, reared in conditions of great financial stringency, was a personal expression of his genetic and evolutionary convictions."[2] Fisher was noted for being loyal, and was seen as a patriot, a member of the Church of England, politically conservative, as well as a scientific rationalist. He developed a reputation for carelessness in his dress and was the archetype of the absent-minded professor. H. Allen Orr describes him in the Boston Review as a "deeply devout Anglican who, between founding modern statistics and population genetics, penned articles for church magazines".[62] In a 1955 broadcast on Science and Christianity,[2] he said: “ The custom of making abstract dogmatic assertions is not, certainly, derived from the teaching of Jesus, but has been a widespread weakness among religious teachers in subsequent centuries. I do not think that the word for the Christian virtue of faith should be prostituted to mean the credulous acceptance of all such piously intended assertions. Much self-deception in the young believer is needed to convince himself that he knows that of which in reality he knows himself to be ignorant. That surely is hypocrisy, against which we have been most conspicuously warned. ” Eugenics[edit] As a steward at the First International Eugenics Conference, 1912 In 1910 Fisher joined the Eugenics Society (UK) at University of Cambridge, whose members included John Maynard Keynes, R. C. Punnett, and Horace Darwin. He saw eugenics as addressing pressing social and scientific issues that encompassed and drove his interest in both genetics and statistics. During World War I Fisher started writing book reviews for the Eugenic Review and volunteered to undertake all such reviews for the journal, being hired for a part-time position. The last third of The Genetical Theory of Natural Selection focussed on eugenics, attributing the fall of civilizations to the fertility of their upper classes being diminished, and used British 1911 census data to show an inverse relationship between fertility and social class, partly due, he claimed, to the lower financial costs and hence increasing social status of families with fewer children. He proposed the abolition of extra allowances to large families, with the allowances proportional to the earnings of the father. He served in several official committees to promote Eugenics. In 1934, he resigned from the Eugenics Society over a dispute about increasing the power of scientists within the movement.[63][7][64] Race[edit] In 1950, Fisher opposed UNESCO's The Race Question, believing that evidence and everyday experience showed that human groups differ profoundly "in their innate capacity for intellectual and emotional development" and concluded that the "practical international problem is that of learning to share the resources of this planet amicably with persons of materially different nature", and that "this problem is being obscured by entirely well-intentioned efforts to minimize the real differences that exist". The revised statement titled "The Race Concept: Results of an Inquiry" (1951) was accompanied by Fisher's dissenting commentary.[8]

Legacy[edit] The 1930 The Genetical Theory of Natural Selection is commonly cited in biology books, and outlines many important concepts, such as: Parental investment, is any parental expenditure (time, energy etc.) that benefits one offspring at a cost to parents' ability to invest in other components of fitness,[65][66] Fisherian runaway, explaining how the desire for a phenotypic trait in one sex combined with the trait in the other sex (for example a peacock's tail) creates a runaway development of the trait. Fisher's principle, which explains why the sex ratio is mostly 1:1 in nature. Reproductive value which implies that sexually reproductive value measures the contribution of an individual of a given age to the future growth of the population.[67][68] Fisher's fundamental theorem of natural selection, which states that "the rate of increase in fitness of any organism at any time is equal to its genetic variance in fitness at that time."[69] Fisher's geometric model, an evolutionary model of the effect sizes on fitness of spontaneous mutations proposed by Fisher to explain the distribution of effects of mutations that could contribute to adaptive evolution.[70] Sexy son hypothesis, which explains why females choose promiscuous, unreliable fathers for their children in the hope of having similar sexy sons who give them lots of grandchildren. Mimicry, a similarity of one species to another that protects one or both Dominance, a relationship between alleles of one gene, in which the effect on phenotype of one allele masks the contribution of a second allele at the same locus.[71] Heterozygote advantage[72] which was later found to play a frequent role in genetic polymorphism. Demonstrating that the probability of a mutation increasing the fitness of an organism decreases proportionately with the magnitude of the mutation and that larger populations carry more variation so that they have a greater chance of survival. Fisher is also known for: Linear discriminant analysis is a generalization of Fisher's linear discriminant[73][74] Fisher information, see also scoring algorithm also known as Fisher's scoring, and Minimum Fisher information, a variational principle which, when applied with the proper constraints needed to reproduce empirically known expectation values, determines the best probability distribution that characterizes the system.[75] F-distribution, arises frequently as the null distribution of a test statistic, most notably in the analysis of variance Fisher–Tippett–Gnedenko theorem Fisher's contribution to this was made in 1927 Fisher–Tippett distribution Von Mises–Fisher distribution[76] Inverse probability, a term Fisher used in 1922, referring to "the fundamental paradox of inverse probability" as the source of the confusion between statistical terms which refer to the true value to be estimated, with the actual value arrived at by estimation, which is subject to error.[77] Fisher's permutation test Fisher's inequality[78] Sufficient statistic, when a statistic is sufficient with respect to a statistical model and its associated unknown parameter if "no other statistic that can be calculated from the same sample provides any additional information as to the value of the parameter".[79] Fisher's noncentral hypergeometric distribution, a generalization of the hypergeometric distribution, where sampling probabilities are modified by weight factors. Student's t-distribution, widely-used in statistics.[80][81] Although a prominent opponent of Bayesian statistics, Fisher was the first to use the term "Bayesian", in 1950.[82]

Recognition[edit] Fisher was elected to the Royal Society in 1929. He was made a Knight Bachelor by Queen Elizabeth II in 1952 and awarded the Linnean Society of London Darwin–Wallace Medal in 1958. He won Copley Medal and the Royal Medal. He was an Invited Speaker of the ICM in 1924 in Toronto and in 1928 in Bologna.[83] In 1950, Maurice Wilkes and David Wheeler used the Electronic Delay Storage Automatic Calculator to solve a differential equation relating to gene frequencies in a paper by Ronald Fisher.[84] This represents the first use of a computer for a problem in the field of biology. The Kent distribution (also known as the Fisher–Bingham distribution) was named after him and Christopher Bingham in 1982 while Fisher kernel was named after Fisher in 1998.[85] The R. A. Fisher Lectureship is a North American annual lecture prize, established in 1963. On April 28, 1998 a minor planet, 21451 Fisher, was named after him.[86] Anders Hald called Fisher "a genius who almost single-handedly created the foundations for modern statistical science",[3] while Richard Dawkins named him "the greatest biologist since Darwin": Not only was he the most original and constructive of the architects of the neo-Darwinian synthesis, Fisher also was the father of modern statistics and experimental design. He therefore could be said to have provided researchers in biology and medicine with their most important research tools, as well as with the modern version of biology's central theorem.[87] Geoffrey Miller said of him: To biologists, he was an architect of the "modern synthesis" that used mathematical models to integrate Mendelian genetics with Darwin's selection theories. To psychologists, Fisher was the inventor of various statistical tests that are still supposed to be used whenever possible in psychology journals. To farmers, Fisher was the founder of experimental agricultural research, saving millions from starvation through rational crop breeding programs.[5]

Bibliography[edit] Main article: Ronald Fisher bibliography

References[edit] ^ Ronald Fisher at the Mathematics Genealogy Project ^ a b c d Yates, F.; Mather, K. (1963). "Ronald Aylmer Fisher 1890–1962". Biographical Memoirs of Fellows of the Royal Society. 9: 91–129. doi:10.1098/rsbm.1963.0006. ^ a b Hald, Anders (1998). A History of Mathematical Statistics. New York: Wiley. ISBN 0-471-17912-4. ^ Efron, Bradley (1998), "R. A. Fisher in the 21st century", Statistical Science, 13: 95–122 . ^ a b Miller, Geoffrey (2000). The Mating Mind: how sexual choice shaped the evolution of human nature, London: Heineman, ISBN 0-434-00741-2 (also Doubleday, ISBN 0-385-49516-1) p.54. ^ a b Russell, E. John Russell. "Sir Ronald Fisher". MacTutor History of Mathematics archive. Retrieved 23 August 2017. ^ a b Norton, Bernard (27 April 1978). "A 'fashionable fallacy' defended". New Scientist. Fisher worked as he did because he was an ardent eugenist. (original italics) ... Careful study of Fisher's writings, moreover, enables one to establish strong connections between the problems that Fisher faced qua eugenist and the work in genetics outlined above. ^ a b http://unesdoc.unesco.org/images/0007/000733/073351eo.pdf "The Race Concept: Results of an Inquiry", p. 27. UNESCO 1952 ^ a b Heritage: The Hampstead years of Sir Ronald Aylmer Fisher – most significant British statistician of the 20th century hamhigh.co.uk ^ Fisher biography history.mcs.st-andrews.ac.uk ^ Box, R. A. Fisher, pp 8–16 ^ Aldrich, John. "A Blue Plaque for Ronald Fisher's Childhood Home". Economics, Soton University. Soton.ac.uk. Retrieved 9 December 2013. ^ Box, Joan Fisher; Edwards, A. W. F. (2005), "Fisher, Ronald Aylmer", Encyclopedia of Biostatistics, John Wiley & Sons, doi:10.1002/0470011815.b2a17045 . ^ "Sir Ronald Aylmer Fisher", Statistics Courses, University of Minnesota ^ Fisher, R. A. (1915). "The evolution of sexual preference". Eugenic Review. 7 (3): 184–192. PMC 2987134 . PMID 21259607. ^ a b Box, R. A. Fisher, pp 35–50 ^ Fisher, Ronald A. (1918). "The Correlation Between Relatives on the Supposition of Mendelian Inheritance". Philosophical Transactions of the Royal Society of Edinburgh. 52: 399–433. doi:10.1017/s0080456800012163. ^ Box, R. A. Fisher, pp 50–61 ^ R A Fisher: the life of a scientist Preface www-history.mcs.st-and.ac ^ Fisher, Ronald A. (1921). "On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample". Metron. 1: 3–32. ^ Pfanzagl, Johann; Hamböker, R. (1994). Parametric statistical theory. Berlin: Walter de Gruyter. pp. 207–208. ISBN 3-11-013863-8. ^ a b Conniffe, Denis (1991). "R.A. Fisher and the development of statistics—a view in his centenary year". Journal of the Statistical and Social Inquiry Society of Ireland. 26 (3): 55–108. ^ Fisher, R.A. (1925). Statistical Methods for Research Workers. Oliver and Boyd (Edinburgh). ISBN 0-05-002170-2. ^ Fisher, R.A.; Fisher, R. A (1948). "Questions and answers #14". The American Statistician. 2 (5): 30–31. doi:10.2307/2681650. JSTOR 2681650. ^ Dallal, Gerard E. (2012). The Little Handbook of Statistical Practice. ^ Fisher, Ronald (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. p. 47. ISBN 0-05-002170-2. ^ Fisher, Ronald (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. ISBN 0-05-002170-2. , Table 1 ^ Fisher, R. A.; Balmukand, B. (1928). "The estimation of linkage from the offspring of selfed heterozygotes". Journal of Genetics (20): 79–92. ^ Grafen, Alan; Ridley, Mark (2006). Richard Dawkins: How A Scientist Changed the Way We Think. New York, New York: Oxford University Press. p. 69. ISBN 0-19-929116-0. ^ Sexual Selection and Summary of Population Genetics Accessed from uscs.edu 2-08-2015 ^ The Genetical Theory of Natural Selection. It was first reported in 1936 by Julian Huxley and often repeated in Huxley's work (e.g., 1942, 1954) until it finally passed into the language unattributed through the writings of C. H. Waddington, Gavin de Beer, Ernst Mayr, and Richard Dawkins. ^ Department History, Department of Statistics, University College London. ^ Mann, H.B. (1949). Analysis and design of experiments: Analysis of variance and analysis of variance designs. New York, N. Y.: Dover. MR 0032177. ^ Fisher, R. A. (1971) The Design of Experiments. Chapter II. The Principles of Experimentation, Illustrated by a Psycho-physical Experiment, Section 8. The Null Hypothesis ^ OED quote: 1935 R. A. Fisher, The Design of Experiments ii. 19, "We may speak of this hypothesis as the 'null hypothesis', and it should be noted that the null hypothesis is never proved or established, but is possibly disproved, in the course of experimentation." ^ Fisher, R. A. (1935). "The fiducial argument in statistical inference". Annals of Eugenics. 8: 391–398. ^ R. A. Fisher's Fiducial Argument and Bayes' Theorem by Teddy Seidenfeld ^ R. A. Fisher (1936). "The use of multiple measurements in taxonomic problems" (PDF). Annals of Eugenics. 7 (2): 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x. ^ Fisher, R. A. (1937). "The wave of advance of advantageous genes". Annals of Eugenics (7): 353–369. ^ Fisher 2 ^ Box, R. A. Fisher, p 337 ^ Fisher, Ronald A.; Yates, Frank (1948) [1938]. Statistical tables for biological, agricultural and medical research (3rd ed.). London: Oliver & Boyd. pp. 26–27. OCLC 14222135. Note: the 6th edition, ISBN 0-02-844720-4, is available on the web, but gives a different shuffling algorithm by C. R. Rao. ^ Fisher, R. A.; Corbet, A. S.; Williams, C. B. (1943). "The relation between the number of species and the number of individuals in a random sample of an animal population". Journal of Animal Ecology. 12: 42–58. doi:10.2307/1411. ^ Fisher, R. A. (1936). "Has Mendel's work been rediscovered?". Annals of Science. 1 (2): 115–126. doi:10.1080/00033793600200111. ^ Franklin, Allan; Edwards, A. W. F.; Fairbanks, Daniel J.; Hartl, Daniel L.; Seidenfeld, Teddy (2008). Ending the Mendel-Fisher Controversy. University of Pittsburgh Press. ISBN 9780822973409. ^ Sturtevant, A. H. (2001). A History of Genetics. Cold Springs Harbor, New York: Cold Springs Harbor Laboratory Press. pp. 13–16. ISBN 0-87969-607-9. ^ Fisher, R. A. (1950). "Gene Frequencies in a Cline Determined by Selection and Diffusion". Biometrics. 6 (4): 353–361. doi:10.2307/3001780. JSTOR 3001780. PMID 14791572. ^ Box, R. A. Fisher, pp 93–166 ^ William G. Hill, Trudy F.C. Mackay (1 August 2004). "D. S. Falconer and Introduction to Quantitative Genetics". Genetics. 167 (4): 1529–36. PMC 1471025 . PMID 15342495. ^ Fisher, Ronald (July 6, 1957), "Dangers Of Cigarette-Smoking", The British Medical Journal, London: British Medical Association, 2: 43, doi:10.1136/bmj.2.5035.43, JSTOR 25383068 – via JSTOR, (Registration required (help)) ^ Fisher, Ronald (August 3, 1957), "Dangers Of Cigarette-Smoking", The British Medical Journal, London: British Medical Association, 2: 297–298, doi:10.1136/bmj.2.5039.297-b, JSTOR 25383439 – via JSTOR, (Registration required (help)) ^ Fisher, Ronald (1958), "Cigarettes, Cancer, and Statistics" (PDF), The Centennial Review of Arts & Science, East Lansing, Michigan: Michigan State University Press, 2: 151–166 ^ Fisher, Ronald (1958), "The Nature of Probability" (PDF), The Centennial Review of Arts & Science, East Lansing, Michigan: Michigan State University Press, 2: 261–274 ^ Fisher, Ronald (July 12, 1958), "Lung Cancer and Cigarettes" (PDF), Nature, London: Nature Publishing Group, 182: 108, doi:10.1038/182108a0 ^ Fisher, Ronald (August 30, 1958), "Cancer and Smoking" (PDF), Nature, London: Nature Publishing Group, 182: 596, doi:10.1038/182596a0 ^ Croonian Lecture: Population Genetics by Ronald Fisher, published by The Royal Society Publishing ^ The term "Berkeley" has several meanings, here. Basu refers to the leadership of Jerzy Neyman's department of statistics at the University of California at Berkeley in the world of frequentist statistics. Secondly, Basu alludes to the British philosopher George Berkeley who criticized the use of infinitesimals in mathematical analysis; Berkeley's criticisms were answered by Thomas Bayes in a pamphlet. ^ Page xvii in Ghosh (ed.) ^ RA Fisher samhs.org.au ^ Box, R. A. Fisher, p 396 ^ Box, Joan Fisher (1978) R. A. Fisher: The Life of a Scientist Preface, ISBN 0-471-09300-9 ^ Gould on God: Can religion and science be happily reconciled? bostonreview.net ^ "Series 12. Sir Ronald Aylmer Fisher (1890-1962) Statistician and geneticist. Papers 1911-2005. Papers on Eugenics. 1911-1920, 1936". University of Adelaide. Retrieved 7 September 2017. ^ Andrade da Cruz, Rodrigo (1980). Ronald Fisher and eugenics: Statistics, evolution and genetics in the quest for permanent civilization. Pontifical Catholic University of São Paulo, Brazil (PhD Thesis). doi:10.23925/1980-7651.2017v19;p53. ^ Clutton-Brock, T.H. (1991). The Evolution of Parental Care. Princeton, NJ: Princeton U. Press. p. 9. ^ Trivers, R.L. (1972), "Parental investment and sexual selection", in Campbell, B., Sexual selection and the descent of man 1871–1971, Chicago, IL: Aldine, pp. 136–179, ISBN 0-435-62157-2 ^ Grafen, A. "A theory of Fisher's reproductive value". J Math Biol. 53: 15–60. doi:10.1007/s00285-006-0376-4. PMID 16791649. ^ The Relation Between Reproductive Value and Genetic Contribution Published by the Genetics journal ^ Fisher, R.A. (1930) The Genetical Theory of Natural Selection, Clarendon Press, Oxford ^ Orr, Allen (2005). "The genetic theory of adaptation: a brief history". Nature Reviews Genetics. 6 (2): 119–127. doi:10.1038/nrg1523. PMID 15716908. ^ "dominance". Oxford Dictionaries Online. Oxford University Press. Retrieved 14 May 2014. ^ Fisher R. A. 1930. The Genetical Theory of Natural Selection. ^ Fisher, R. A. (1936). "The Use of Multiple Measurements in Taxonomic Problems". Annals of Eugenics. 7 (2): 179–188. doi:10.1111/j.1469-1809.1936.tb02137.x. hdl:2440/15227. ^ McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. Wiley Interscience. ISBN 0-471-69115-1. MR 1190469. ^ B. R. Frieden, Science from Fisher Information, Cambridge University Press, Cambridge, England, 2004. ^ Fisher, R. A. (1953). "Dispersion on a sphere". Proc. Roy. Soc. Lond. A (217): 295–305. ^ Fisher, R. A. (1922). "On the Mathematical Foundations of Theoretical Statistics". Philos. Trans. R. Soc. London, Ser. A. 222A: 309–368. ^ Fisher, R. A. (1940). "An examination of the different possible solutions of a problem in incomplete blocks". Annals of Eugenics. 10: 52–75. doi:10.1111/j.1469-1809.1940.tb02237.x. ^ Fisher, R.A. (1922). "On the mathematical foundations of theoretical statistics". Philosophical Transactions of the Royal Society A. 222: 309–368. doi:10.1098/rsta.1922.0009. JFM 48.1280.02. JSTOR 91208. ^ Fisher, R. A. (1925), "Applications of "Student's" distribution" (PDF), Metron, 5: 90–104 . ^ Walpole, Ronald; Myers, Raymond; Myers, Sharon; Ye, Keying (2002). Probability and Statistics for Engineers and Scientists (7th ed.). Pearson Education. p. 237. ISBN 81-7758-404-9. ^ Agresti, Alan; David B. Hichcock (2005). "Bayesian Inference for Categorical Data Analysis" (PDF). Statistical Methods & Applications. 14 (3): 298. doi:10.1007/s10260-005-0121-y. ^ Fisher, R. A. "On a property connecting the χ2 measure of discrepancy with the method of maximum likelihood". In: Atti del Congresso Internazionale dei Matematici: Bologna del 3 al 10 de settembre di 1928. vol. 6. pp. 95–100. ^ Gene Frequencies in a Cline Determined by Selection and Diffusion, R. A. Fisher, Biometrics, Vol. 6, No. 4 (Dec., 1950), pp. 353–361 ^ Tommi Jaakkola and David Haussler (1998), Exploiting Generative Models in Discriminative Classifiers. In Advances in Neural Information Processing Systems 11, pages 487–493. MIT Press. ISBN 978-0-262-11245-1 PS, Citeseer ^ JPL Small-Body Database Browser Source is NASA ^ Dawkins, Richard (2010). Edge "Who is the Greatest Biologist Since Darwin? Why?" Check |url= value (help). Who is the greatest biologist since Darwin? That's far less obvious, and no doubt many good candidates will be put forward. My own nominee would be Ronald Fisher. Not only was he the most original and constructive of the architects of the neo-Darwinian synthesis. Fisher also was the father of modern statistics and experimental design. He therefore could be said to have provided researchers in biology and medicine with their most important research tools, as well as with the modern version of biology's central theorem.

Sources[edit] Box, Joan Fisher (1978). R. A. Fisher: The Life of a Scientist. Wiley. ISBN 0-471-09300-9. Howie, David (2002). Interpreting Probability: Controversies and Developments in the Early Twentieth Century. Cambridge University Press. Kruskal, William H. (1980). "The significance of Fisher: A review of R. A. Fisher. The Life of a Scientist, by Joan Fisher Box". Journal of the American Statistical Association. 75: 1019–1030. doi:10.2307/2287199. Salsburg, David (2002). The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. Henry Holt and Company. ISBN 0-8050-7134-2.

Further reading[edit] Aldrich, John (1997). "R.A. Fisher and the making of maximum likelihood 1912–1922". Statistical Science. 12 (3): 162–176. doi:10.1214/ss/1030037906. Fienberg, S. E.; Hinkley, D. V., eds. (1980). R.A. Fisher: An Appreciation. Springer-Verlag. Savage, L. J. (1976). "On rereading R. A. Fisher". Annals of Statistics. 4: 441–500.

External links[edit] Find more aboutRonald Fisherat Wikipedia's sister projects Media from Wikimedia Commons Quotations from Wikiquote Data from Wikidata O'Connor, John J.; Robertson, Edmund F., "Ronald Fisher", MacTutor History of Mathematics archive, University of St Andrews . A Guide to R. A. Fisher by John Aldrich University of Adelaide Library for bibliography, biography, 2 volumes of correspondence and many articles Classics in the History of Psychology for the first edition of Statistical Methods for Research Workers A collection of Fisher quotations compiled by A. W. F. Edwards Academic offices Preceded by Austin Bradford Hill Presidents of the Royal Statistical Society 1952—1954 Succeeded by William Piercy v t e Copley Medallists of 1951–2000 David Keilin (1951) Paul Dirac (1952) Albert Kluyver (1953) E. T. Whittaker (1954) Ronald Fisher (1955) Patrick Blackett (1956) Howard Florey (1957) John Edensor Littlewood (1958) Frank Macfarlane Burnet (1959) Harold Jeffreys (1960) Hans Adolf Krebs (1961) Cyril Norman Hinshelwood (1962) Paul Fildes (1963) Sydney Chapman (1964) Alan Lloyd Hodgkin (1965) William Lawrence Bragg (1966) Bernard Katz (1967) Tadeusz Reichstein (1968) Peter Medawar (1969) Alexander R. Todd (1970) Norman Pirie (1971) Nevill Francis Mott (1972) Andrew Huxley (1973) W. V. D. Hodge (1974) Francis Crick (1975) Dorothy Hodgkin (1976) Frederick Sanger (1977) Robert Burns Woodward (1978) Max Perutz (1979) Derek Barton (1980) Peter D. Mitchell (1981) John Cornforth (1982) Rodney Robert Porter (1983) Subrahmanyan Chandrasekhar (1984) Aaron Klug (1985) Rudolf Peierls (1986) Robin Hill (1987) Michael Atiyah (1988) César Milstein (1989) Abdus Salam (1990) Sydney Brenner (1991) George Porter (1992) James D. Watson (1993) Frederick Charles Frank (1994) Frank Fenner (1995) Alan Cottrell (1996) Hugh Huxley (1997) James Lighthill (1998) John Maynard Smith (1999) Alan Battersby (2000) v t e Guy Medallists Gold Medallists Charles Booth (1892) Robert Giffen (1894) Jervoise Athelstane Baines (1900) Francis Ysidro Edgeworth (1907) Patrick G. Craigie (1908) G. Udny Yule (1911) T. H. C. Stevenson (1920) A. William Flux (1930) A. L. Bowley (1935) Major Greenwood (1945) R. A. Fisher (1946) A. Bradford Hill (1953) E. S. Pearson (1955) Frank Yates (1960) Harold Jeffreys (1962) Jerzy Neyman (1966) M. G. Kendall (1968) M. S. Bartlett (1969) Harald Cramér (1972) David Cox (1973) G. A. Barnard (1975) Roy Allen (1978) D. G. Kendall (1981) Henry Daniels (1984) Bernard Benjamin (1986) Robin Plackett (1987) Peter Armitage (1990) George E. P. Box (1993) Peter Whittle (1996) Michael Healy (1999) Dennis Lindley (2002) John Nelder (2005) James Durbin (2008) C. R. Rao (2011) John Kingman (2013) Bradley Efron (2014) Silver Medallists John Glover (1893) Augustus Sauerbeck (1894) A. L. Bowley (1895) F. J. Atkinson (1897) C. S. Loch (1899) Richard Crawford (1900) Thomas A. Welton (1901) R. H. Hooker (1902) Yves Guyot (1903) D. A. Thomas (1904) R. H. Rew (1905) W. H. Shaw (1906) N. A. Humphreys (1907) Edward Brabrook (1909) G. H. Wood (1910) R. Dudfield (1913) S. Rowson (1914) S. J. Chapman (1915) J. S. Nicholson (1918) J. C. Stamp (1919) A. William Flux (1921) H. W. Macrosty (1927) Ethel Newbold (1928) H. E. Soper (1930) J. H. Jones (1934) E. C. Snow (1935) R. G. Hawtrey (1936) E. C. Ramsbottom (1938) L. Isserlis (1939) H. Leak (1940) M. G. Kendall (1945) Harry Campion (1950) F. A. A. Menzler (1951) M. S. Bartlett (1952) J. O. Irwin (1953) L. H. C. Tippett (1954) D. G. Kendall (1955) Henry Daniels (1957) G. A. Barnard (1958) E. C. Fieller (1960) D. R. Cox (1961) P. V. Sukhatme (1962) George E. P. Box (1964) C. R. Rao (1965) Peter Whittle (1966) Dennis Lindley (1968) Robin Plackett (1973) James Durbin (1976) John Nelder (1977) Peter Armitage (1978) Michael Healy (1979) M. Stone (1980) John Kingman (1981) Henry Wynn (1982) Julian Besag (1983) J. C. Gittins (1984) A. Bissell (1985) W. Pridmore (1985) Richard Peto (1986) John Copas (1987) John Aitchison (1988) F. P. Kelly (1989) David Clayton (1990) R. L. Smith (1991) Robert Curnow (1992) A. F. M. Smith (1993) David Spiegelhalter (1994) B. W. Silverman (1995) Steffen Lauritzen (1996) Peter Diggle (1997) Harvey Goldstein (1998) Peter Green (1999) Walter Gilks (2000) Philip Dawid (2001) David Hand (2002) Kanti Mardia (2003) Peter Donnelly (2004) Peter McCullagh (2005) Michael Titterington (2006) Howell Tong (2007) Gareth Roberts (2008) Sylvia Richardson (2009) Iain M. Johnstone (2010) P. G. Hall (2011) David Firth (2012) Brian Ripley (2013) Jianqing Fan (2014) Anthony Davison (2015) Nancy Reid (2016) Bronze Medallists William Gemmell Cochran (1936) R. F. George (1938) W. J. Jennett (1949) Peter Armitage (1962) James Durbin (1966) F. Downton (1967) Robin Plackett (1968) M. C. Pike (1969) P. G. Moore (1970) D. J. Bartholomew (1971) G. N. Wilkinson (1974) A. F. Bissell (1975) P. L. Goldsmith (1976) A. F. M. Smith (1977) Philip Dawid (1978) T. M. F. Smith (1979) A. J. Fox (1980) S. J. Pocock (1982) Peter McCullagh (1983) Bernard Silverman (1984) David Spiegelhalter (1985) D. F. Hendry (1986) Peter Green (1987) S. C. Darby (1988) S. M. Gore (1989) Valerie Isham (1990) M. G. Kenward (1991) C. Jennison (1992) Jonathan Tawn (1993) R. F. A. Poultney (1994) Iain M. Johnstone (1995) J. N. S. Matthews (1996) Gareth Roberts (1997) D. Firth (1998) P. W. F. Smith J. Forster (1999) J. Wakefield (2000) Guy Nason (2001) Geert Molenberghs (2002) Peter Lynn (2003) Nicola Best (2004) Steve Brooks (2005) Matthew Stephens (2006) Paul Fearnhead (2007) Fiona Steele (2008) Chris Holmes (2009) Omiros Papaspiliopoulos (2010) Nicolai Meinshausen (2011) Richard Samworth (2012) Piotr Fryzlewicz (2013) Ming Yuan (2014) v t e Population genetics Key concepts Hardy-Weinberg law Genetic linkage Identity by descent Linkage disequilibrium Fisher's fundamental theorem Neutral theory Shifting balance theory Price equation Coefficient of relationship Fitness Heritability Selection Natural Sexual Artificial Ecological Effects of selection on genomic variation Genetic hitchhiking Background selection Genetic drift Small population size Population bottleneck Founder effect Coalescence Balding–Nichols model Founders R. A. Fisher J. B. S. Haldane Sewall Wright Related topics Evolution Microevolution Evolutionary game theory Fitness landscape Genetic genealogy Quantitative genetics Index of evolutionary biology articles v t e Statistics Outline Index Descriptive statistics Continuous data Center Mean arithmetic geometric harmonic Median Mode Dispersion Variance Standard deviation Coefficient of variation Percentile Range Interquartile range Shape Central limit theorem Moments Skewness Kurtosis L-moments Count data Index of dispersion Summary tables Grouped data Frequency distribution Contingency table Dependence Pearson product-moment correlation Rank correlation Spearman's rho Kendall's tau Partial correlation Scatter plot Graphics Bar chart Biplot Box plot Control chart Correlogram Fan chart Forest plot Histogram Pie chart Q–Q plot Run chart Scatter plot Stem-and-leaf display Radar chart Data collection Study design Population Statistic Effect size Statistical power Sample size determination Missing data Survey methodology Sampling stratified cluster Standard error Opinion poll Questionnaire Controlled experiments Design control optimal Controlled trial Randomized Random assignment Replication Blocking Interaction Factorial experiment Uncontrolled studies Observational study Natural experiment Quasi-experiment Statistical inference Statistical theory Population Statistic Probability distribution Sampling distribution Order statistic Empirical distribution Density estimation Statistical model Lp space Parameter location scale shape Parametric family Likelihood (monotone) Location–scale family Exponential family Completeness Sufficiency Statistical functional Bootstrap U V Optimal decision loss function Efficiency Statistical distance divergence Asymptotics Robustness Frequentist inference Point estimation Estimating equations Maximum likelihood Method of moments M-estimator Minimum distance Unbiased estimators Mean-unbiased minimum-variance Rao–Blackwellization Lehmann–Scheffé theorem Median unbiased Plug-in Interval estimation Confidence interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful test Permutation test Randomization test Multiple comparisons Parametric tests Likelihood-ratio Wald Score Specific tests Z (normal) Student's t-test F Goodness of fit Chi-squared Kolmogorov–Smirnov Anderson–Darling Lilliefors Jarque–Bera Normality (Shapiro–Wilk) Likelihood-ratio test Model selection Cross validation AIC BIC Rank statistics Sign Sample median Signed rank (Wilcoxon) Hodges–Lehmann estimator Rank sum (Mann–Whitney) Nonparametric anova 1-way (Kruskal–Wallis) 2-way (Friedman) Ordered alternative (Jonckheere–Terpstra) Bayesian inference Bayesian probability prior posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator Correlation Regression analysis Correlation Pearson product-moment Partial correlation Confounding variable Coefficient of determination Regression analysis Errors and residuals Regression model validation Mixed effects models Simultaneous equations models Multivariate adaptive regression splines (MARS) Linear regression Simple linear regression Ordinary least squares General linear model Bayesian regression Non-standard predictors Nonlinear regression Nonparametric Semiparametric Isotonic Robust Heteroscedasticity Homoscedasticity Generalized linear model Exponential families Logistic (Bernoulli) / Binomial / Poisson regressions Partition of variance Analysis of variance (ANOVA, anova) Analysis of covariance Multivariate ANOVA Degrees of freedom Categorical / Multivariate / Time-series / Survival analysis Categorical Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Multivariate Regression Manova Principal components Canonical correlation Discriminant analysis Cluster analysis Classification Structural equation model Factor analysis Multivariate distributions Elliptical distributions Normal Time-series General Decomposition Trend Stationarity Seasonal adjustment Exponential smoothing Cointegration Structural break Granger causality Specific tests Dickey–Fuller Johansen Q-statistic (Ljung–Box) Durbin–Watson Breusch–Godfrey Time domain Autocorrelation (ACF) partial (PACF) Cross-correlation (XCF) ARMA model ARIMA model (Box–Jenkins) Autoregressive conditional heteroskedasticity (ARCH) Vector autoregression (VAR) Frequency domain Spectral density estimation Fourier analysis Wavelet Survival Survival function Kaplan–Meier estimator (product limit) Proportional hazards models Accelerated failure time (AFT) model First hitting time Hazard function Nelson–Aalen estimator Test Log-rank test Applications Biostatistics Bioinformatics Clinical trials / studies Epidemiology Medical statistics Engineering statistics Chemometrics Methods engineering Probabilistic design Process / quality control Reliability System identification Social statistics Actuarial science Census Crime statistics Demography Econometrics National accounts Official statistics Population statistics Psychometrics Spatial statistics Cartography Environmental statistics Geographic information system Geostatistics Kriging Category Portal Commons WikiProject v t e Design of experiments Scientific method Scientific experiment Statistical design Control Internal and external validity Experimental unit Blinding Optimal design: Bayesian Random assignment Randomization Restricted randomization Replication versus subsampling Sample size Treatment and blocking Treatment Effect size Contrast Interaction Confounding Orthogonality Blocking Covariate Nuisance variable Models and inference Linear regression Ordinary least squares Bayesian Random effect Mixed model Hierarchical model: Bayesian Analysis of variance (Anova) Cochran's theorem Manova (multivariate) Ancova (covariance) Compare means Multiple comparison Designs Completely randomized Factorial Fractional factorial Plackett-Burman Taguchi Response surface methodology Polynomial and rational modeling Box-Behnken Central composite Block Generalized randomized block design (GRBD) Latin square Graeco-Latin square Orthogonal array Latin hypercube Repeated measures design Crossover study Randomized controlled trial Sequential analysis Sequential probability ratio test Glossary Category Statistics portal Statistical outline Statistical topics v t e Arthur Balfour Professor of Genetics at the University of Cambridge Professors Reginald Punnett (1912-1940) Ronald Fisher (1943-1957) John Thoday (1959-1983) John Fincham (1984-1991) Peter Goodfellow (1992-1996) David Glover (1999-2015) Anne Ferguson-Smith (2015- ) Authority control WorldCat Identities VIAF: 41900609 LCCN: n79045333 ISNI: 0000 0001 0891 3400 GND: 11853355X SELIBR: 186957 SUDOC: 031602843 BNF: cb12278567t (data) MGP: 46924 NDL: 00439622 IATH: w6bs0hj7 Retrieved from "https://en.wikipedia.org/w/index.php?title=Ronald_Fisher&oldid=820777281" 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