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Mathematical Statistics

Mathematical Statistics

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Description
This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics. Added topics include useful moment inequalities,more discussions of moment generating and characteristic functions, and proofs to many key theorems such as the dominated convergence theorem.
Product details
Edition:
2
Number of Pages:
592
Release Date:
2003-07-17
Publication Date:
2003-07-17
Publisher:
Springer-Verlag New York Inc.
Languages:
Published: English, Original: English
ISBN10:
0387953825
Weight:
1058 g

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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