Mathematical statistics

Mathematical statistics

Jun Shao
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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.
Categorías:
Año:
2003
Edición:
2nd ed
Editorial:
Springer
Idioma:
english
Páginas:
607
ISBN 10:
1441929789
ISBN 13:
9781441929785
Serie:
Springer texts in statistics
Archivo:
PDF, 4.72 MB
IPFS:
CID , CID Blake2b
english, 2003
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