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Theory of Point Estimation (Springer Texts in Statistics)

Science & Math

George Casella

Erich L. Lehmann

Mathematics

Springer

An account of point estimation in Euclidean sample space, this text covers numerous applications to exponential and group families and offers a systematic discussion of the rich body of statistical problems relevant to these subjects. Together with the authors' "Testing Statistical Hypotheses", this text is designed for graduate-level courses in the theory and applications of mathematical statistics.

Theory of Point Estimation

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.

Testing Statistical Hypotheses (Springer Texts in Statistics)

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 (WADSWORTH AND BROOKS/COLE STATISTICS/PROBABILITY SERIES)

Testing Statistical Hypotheses, 4th&nbsp;Edition&nbsp;updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.

Testing Statistical Hypotheses: Volume II (Springer Texts in Statistics)

Joseph P. Romano

TESTING STATISTICAL HYPOTHESES, 3RD EDITION (SPRINGER TEXTS IN STATISTICS)

SPRINGER (SIE)

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".

See the best price to sell, buy, or rent books by Erich L. Lehmann. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Erich L. Lehmann

See the best price to sell, buy, or rent books by Erich L. Lehmann. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Theory of Point Estimation (Springer Texts in Statistics)

Theory of Point Estimation

Testing Statistical Hypotheses (Springer Texts in Statistics)

Theory of Point Estimation (WADSWORTH AND BROOKS/COLE STATISTICS/PROBABILITY SERIES)

Testing Statistical Hypotheses: Volume II (Springer Texts in Statistics)

Theory of Point Estimation

TESTING STATISTICAL HYPOTHESES, 3RD EDITION (SPRINGER TEXTS IN STATISTICS)

Theory of Point Estimation