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Sir Ronald Aylmer Fisher FRS [5] (17 February 1890 – 29 July 1962) was a British polymath who was active as a mathematician, statistician, biologist, eugenicist, geneticist, and academic. [6] For his work in statistics, he has been described as "a genius who almost single-handedly created the foundations for modern statistical science" [ 7 ...
The Ronald Fisher bibliography contains the works published by the English statistician and biologist Ronald Fisher (1890–1962). ... (PDF). Journal of ...
According to Denis Conniffe: Ronald A. Fisher was "interested in application and in the popularization of statistical methods and his early book Statistical Methods for Research Workers, published in 1925, went through many editions and motivated and influenced the practical use of statistics in many fields of study.
Fisher, Ronald: English: 1890: 1962: Wrote the textbooks and articles that defined the academic discipline of statistics, inspiring the creation of statistics departments at universities throughout the world. Systematized previous results with informative terminology, substantially improving previous results with mathematical analysis (and claims).
It includes the founders of statistics and others. It includes some 17th- and 18th-century mathematicians and polymaths whose work is regarded as influential in shaping the later discipline of statistics. Also included are various actuaries, economists, and demographers known for providing leadership in applying statistics to their fields.
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Two other series of lectures are also named after R. A. Fisher: The Fisher Memorial Lecture on an application of mathematics to biology, usually given in the UK, first given in 1964; The Sir Ronald Fisher Lecture on genetics, evolutionary biology or statistics, given at the University of Adelaide, Australia, first given in 1990
Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]