# Mathematical Statistics (Springer Texts in 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.

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From the Back Cover:

This book consists of four hundred exercises in mathematical statistics and their solutions, over 95% of which are in the author's Mathematical Statistics, Second Edition (Springer, 2003). For students preparing for work on a Ph.D. degree in statistics and instructors of mathematical statistics courses, this useful book provides solutions to train students for their research ability in mathematical statistics and presents many additional results and examples that complement any text in mathematical statistics. To develop problem-solving skills, two solutions and/or notes of brief discussions accompany a few exercises.

The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics. On the other hand, the book is stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book.

Readers are assumed to have a good knowledge in advanced calculus. A course in real analysis or measure theory is highly recommended. If this book is used with a statistics textbook that does not include probability theory, then knowledge in measure-theoretic probability theory is required.

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

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

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## 1.Mathematical Statistics (Hardback)

Editorial: Springer-Verlag New York Inc., United States (2007)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer-Verlag New York Inc., United States, 2007. Hardback. Estado de conservación: New. 2nd ed. 2003. Corr. 4th printing 2007. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería LIE9780387953823

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## 2.Mathematical Statistics (Springer Texts in Statistics)

Editorial: Springer (2007)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2007. Estado de conservación: New. This item is printed on demand for shipment within 3 working days. Nº de ref. de la librería LP9780387953823

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## 3.Mathematical Statistics

Editorial: Springer-Verlag New York Inc. (2007)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer-Verlag New York Inc., 2007. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9780387953823

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## 4.Mathematical Statistics

Editorial: Springer (2003)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2003. Hardback. Estado de conservación: NEW. 9780387953823 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0275902

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## 5.Mathematical Statistics

Editorial: Springer (2016)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780387953823_lsuk

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## 6.Mathematical Statistics

Editorial: Springer-Verlag New York Inc. (2008)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer-Verlag New York Inc., 2008. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780387953823

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## 7.Mathematical Statistics

Editorial: Springer (2003)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2003. Hardcover. Estado de conservación: New. 2nd. This item is printed on demand. Nº de ref. de la librería DADAX0387953825

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## 8.Mathematical Statistics (Springer Texts in Statistics)

Editorial: Springer (2007)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2007. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0387953825

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## 9.Mathematical Statistics (Springer Texts in Statistics)

Editorial: Springer (2007)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2007. Hardcover. Estado de conservación: New. This item is printed on demand. Nº de ref. de la librería INGM9780387953823

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## 10.Mathematical Statistics (Springer Texts in Statistics)

Editorial: Springer (2017)
ISBN 10: 0387953825 ISBN 13: 9780387953823
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Descripción Springer, 2017. Hardcover. Estado de conservación: New. This item is printed on demand. Nº de ref. de la librería 0387953825

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