Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features:
Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference. |
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Contents
laPlace 1 | 3 |
vii | 39 |
galton regression and correlation | 187 |
karl Pearsons chisquared goodnessoffit test | 293 |
1863 | 331 |
students t | 348 |
the fisherian legacy | 371 |
Beyond fisher and neymanPearson | 593 |
Statistical Decision Theory 1950 | 634 |
681 | |
714 | |