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Developed the analysis of variance, clarified the method of maximum likelihood (without the uniform priors appearing in some previous versions), invented the concept of sufficient statistics, developed Edgeworth's use of exponential families and information, introducing observed Fisher information, and many theoretical concepts and practical ...
The History of Statistics in the 17th and 18th Centuries against the changing background of intellectual, scientific and religious thought (Lectures by Karl Pearson given at University College London during the academic sessions 1921-1933). New York: MacMillan Publishing Co., Inc. p. 744.
Pearson's work was all-embracing in the wide application and development of mathematical statistics, and encompassed the fields of biology, epidemiology, anthropometry, medicine, psychology and social history. [38] In 1901, with Weldon and Galton, he founded the journal Biometrika whose object was the development of statistical theory. [39]
He pioneered the principles of the design of experiments and the statistics of small samples and the analysis of real data. [ 22 ] In 1925 he published Statistical Methods for Research Workers , one of the 20th century's most influential books on statistical methods. [ 50 ]
A typical "Business Statistics" course is intended for business majors, and covers [71] descriptive statistics (collection, description, analysis, and summary of data), probability (typically the binomial and normal distributions), test of hypotheses and confidence intervals, linear regression, and correlation; (follow-on) courses may include ...
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.
Statistics subsequently branched out into various directions, including decision theory, Bayesian statistics, exploratory data analysis, robust statistics, and non-parametric statistics. Neyman-Pearson hypothesis testing made significant contributions to decision theory, which is widely employed, particularly in statistical quality control.
John Aldrich (2008), Figures from the History of Probability and Statistics; John Aldrich (2008), Probability and Statistics on the Earliest Uses Pages; Michael Friendly and Daniel J. Denis (2008). "Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization: An illustrated chronology of innovations"