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

$ 90.43

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

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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.