This reprint of a classic reference describes rank tests and estimating procedures derived from them, and gives an account of their properties. All the tests discussed here are now available in a variety of statistical software packages.

Nonparametrics: Statistical Methods Based on Ranks

Science & Math

Lehmann, Erich L.

Mathematics

Springer

This relatively nontechnical book is the first account of the history of statistics from the Fisher revolution to the computer revolution. It sketches the careers, and highlights some of the work, of 65 people, most of them statisticians. What gives the book its special character is its emphasis on the author's interaction with these people and the inclusion of many personal anecdotes. Combined, these portraits provide an amazing fly-on-the-wall view of statistics during the period in question. The stress is on ideas and technical material is held to a minimum. Thus the book is accessible to anyone with at least an elementary background in statistics.

Reminiscences of a Statistician: The Company I Kept

Biographies & Memoirs

This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general style of the first edition. All of the topics are updated, while an entirely new chapter on Bayesian and hierarchical Bayesian approaches is provided, and there is much new material on simultaneous estimation. Each chapter concludes with a Notes section which contains suggestions for further study. This is a companion volume to the second edition of Lehmann's "Testing Statistical Hypotheses".

Theory of Point Estimation (Springer Texts in Statistics)

Casella, George

This collection of intriguing essays describes important applications of statistics and probability in many fields. Instead of teaching methods, the essays illustrate past accomplishments and current uses of statistics and probability. Surveys, questionnaires, experiments, and observational studies are also presented to help the student better understand the importance of the influence of statistics on each topic covered within the separate essays.

Statistics: A Guide to the Unknown

Mosteller, Frederick

Tanur, Judith M.

Kruskal, William H.

Link, Richard F.

Duxbury Press

Basic Concepts of Probability and Statistics, Part 2: Statistics

Literature & Fiction

Hodges Jr, J. L.

Literary

Literary Licensing, LLC

Basic Concepts of Probability and Statistics, Part 1: Probability

Classical statistical theory―hypothesis testing, estimation, and the design of experiments and sample surveys―is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline.
This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.

Fisher, Neyman, and the Creation of Classical Statistics

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Books by Lehmann, Erich L.