From the rear cover
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 Ph.D. An important strength of this book is that it provides a mathematically rigorous 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. Commencing with chapters on probability models and the theory of sufficient statistics, the author covers decision theory, hypothesis testing, estimation, equivariance, large sample theory, hierarchical models, and, finally, sequential analysis. Every chapter concludes with exercises which range in difficulty from the easy to the challenging. As a result, this textbook provides an excellent course in modern theoretical statistics.
Details
- Title Theory of Statistics
- Author Mark J. Schervish
- Binding Hardcover
- Edition 1st ed. 1995. Co
- Pages 716
- Volumes 1
- Language ENG
- Publisher Springer
- Date 1995-08-10
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9780387945460 / 0387945466
- Weight 2.52 lbs (1.14 kg)
- Dimensions 9.51 x 6.38 x 1.66 in (24.16 x 16.21 x 4.22 cm)
- Library of Congress subjects Mathematical statistics
- Library of Congress Catalog Number 95011235
- Dewey Decimal Code 519.5
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