Mathematical Statistics - Couverture rigide

Livre 16 sur 103: Springer Texts in Statistics

Shao, Jun

 
9780387953823: Mathematical Statistics

Synopsis

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.

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Autres éditions populaires du même titre

9780361249706: Mathematical Statistics (Springer Texts in Statistics)

Edition présentée

ISBN 10 :  0361249705 ISBN 13 :  9780361249706
Editeur : Springer, 2010
Couverture souple