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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 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.
Published by: Springer
Publication Date: 1995-08-10
Format: Hardcover
ISBN-13: 9780387945460
DOI: 10.1007/978-1-4612-4250-5
Dimensions: 234cm x156cm
Pages: 716