R A Fisher Popular Books

R A Fisher Biography & Facts

Sir Ronald Aylmer Fisher (17 February 1890 – 29 July 1962) was a British polymath who was active as a mathematician, statistician, biologist, geneticist, and academic. For his work in statistics, he has been described as "a genius who almost single-handedly created the foundations for modern statistical science" and "the single most important figure in 20th century statistics". In genetics, his work used mathematics to combine Mendelian genetics and natural selection; this contributed to the revival of Darwinism in the early 20th-century revision of the theory of evolution known as the modern synthesis, being the one to most comprehensively combine the ideas of Gregor Mendel and Charles Darwin. For his contributions to biology, Richard Dawkins proclaimed Fisher as "the greatest of Darwin's successors". He is considered one of the founding fathers of Neo-Darwinism. From 1919, he worked at the Rothamsted Experimental Station for 14 years; there, he analyzed its immense body of data from crop experiments since the 1840s, and developed the analysis of variance (ANOVA). He established his reputation there in the following years as a biostatistician. Together with J. B. S. Haldane and Sewall Wright, Fisher is known as one of the three principal founders of population genetics. He outlined Fisher's principle, the Fisherian runaway and sexy son hypothesis theories of sexual selection. His contributions to statistics include promoting the method of maximum likelihood and deriving the properties of maximum likelihood estimators, fiducial inference, the derivation of various sampling distributions, founding principles of the design of experiments, and much more. Fisher held strong views on race and eugenics, insisting on racial differences. Although he was clearly a eugenicist, there is some debate as to whether Fisher supported scientific racism (see Ronald Fisher § Views on race). He was the Galton Professor of Eugenics at University College London and editor of the Annals of Eugenics. Early life and education 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. He was one of twins, with the other twin being still-born and grew up the youngest, with three sisters and one brother. From 1896 until 1904 they lived at Inverforth House in London, where English Heritage installed a blue plaque in 2002, before moving to Streatham. His mother, Kate, died from acute peritonitis when he was 14, and his father lost his business 18 months later. Lifelong poor eyesight caused his rejection by the British Army for World War I, 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 Mathematics. In 1915 he published a paper The evolution of sexual preference on sexual selection and mate choice. Career During 1913–1919, Fisher worked 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. 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. 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, reconciling its discontinuous nature with gradual evolution. Joan Box, Fisher's biographer and daughter, says that Fisher had resolved this problem already in 1911. Today, Fisher's additive model is still regularly used in genome-wide association studies. Rothamsted Experimental Station, 1919–1933 In 1919, he began working at the Rothamsted Experimental Station in Hertfordshire, where he would remain for 14 years. He had been offered a position at the Galton Laboratory in University College London led by Karl Pearson, but instead accepted a temporary role at Rothamsted 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 I, his first application of the analysis of variance (ANOVA). Studies in Crop Variation II written with his first assistant, Winifred Mackenzie, became the model for later ANOVA work. Later assistants who mastered and propagated Fisher's methods were Joseph Oscar Irwin John Wishart and Frank Yates. Between 1912 and 1922 Fisher recommended, analyzed (with heuristic proofs) and vastly popularized the maximum likelihood estimation method. 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. Fisher's method is a technique for data fusion or "meta-analysis" (analysis of analyses). This book also popularized the p-value, which 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), yielding the rule of two standard deviations (on a normal distribution) for statistical significance. The significance of 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 = 0.05, 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." In Table 1 of the work, he gave the more precise value 1.959964. 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 me.... Discover the R A Fisher popular books. Find the top 100 most popular R A Fisher books.