Mathematical Statistics (Springer Texts in Statistics) - Hardcover

Shao, Jun

Hardcover

ISBN 10: 0387953825 ISBN 13: 9780387953823

Verlag: Springer, 2003

Inhaltsangabe

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. 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. Chapters 3-7 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, conditional independence, Markov chains, martingales, Edgeworth and Cornish-Fisher expansions, and proofs to many key theorems such as the dominated convergence theorem, monotone convergence theorem, uniqueness theorem, continuity theorem, law of large numbers, and central limit theorem. A new section in Chapter 5 introduces semiparametric models, and a number of new exercises were added to each chapter.

Über diesen Titel

Über die Autorin bzw. den Autor

Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2003
• Sprache: Englisch
• ISBN 10: 0387953825
• ISBN 13: 9780387953823
• Einband: Gebundene Ausgabe
• Auflage: 2
• Anzahl der Seiten: 608
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