Theory of Statistics, Paperback by Schervish, Mark J., Like New Used, Free sh...

$ 90.43

Publication Year: 2011 Item Height: 0.6 in width: 6.1 in Item Length: 9.3 in height: 0.6 in Item Width: 6.1 in Subject: Probability & Statistics / General Type: Textbook Language: English Subject Area: Mathematics Series: Springer Series in Statistics Ser. Publication Name: Theory of Statistics Item Weight: 38.5 Oz Number of Pages: Xvi, 716 Pages Publisher: Springer New York Author: Mark J. Schervish ISBN: 9781461287087 Book Title: Theory of Statistics Format: Trade Paperback

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Theory of Statistics, Paperback by Schervish, Mark J., Like New Used, Free sh.... Theory of Statistics, Paperback by Schervish, Mark J., ISBN 1461287081, ISBN-13 9781461287087, Like New Used, Free shipping in the US The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a . An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches. Theory of Statistics, Paperback by Schervish, Mark J., ISBN 1461287081, ISBN-13 9781461287087, Like New Used, Free shipping in the US The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a . An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.