Details
Mathematical Statistics: Exercises and Solutions
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139,09 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 26.06.2006 |
| ISBN/EAN: | 9780387282763 |
| Sprache: | englisch |
| Anzahl Seiten: | 360 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics. </P>
<P>Can also be used as a stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book. </P>
<P></P>
<P>Suitable for self-study for a statistics Ph.D. qualifying exam.</P>
<P>Can also be used as a stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book. </P>
<P></P>
<P>Suitable for self-study for a statistics Ph.D. qualifying exam.</P>
Since the publication of my book Mathematical Statistics (Shao, 2003), I have been asked many times for a solution manual to the exercises in my book. Without doubt, exercises form an important part of a textbook on mathematical statistics, not only in training students for their research ability in mathematical statistics but also in presenting many additional results as complementary material to the main text. Written solutions to these exercises are important for students who initially do not have the skills in solving these exercises completely and are very helpful for instructors of a mathematical statistics course (whether or not my book Mathematical Statistics is used as the textbook) in providing answers to students as well as ?nding additional examples to the main text. Mo- vatedbythisandencouragedbysomeofmycolleaguesandSpringer-Verlag editor John Kimmel, I have completed this book,Mathematical Statistics: Exercises and Solutions. This book consists of solutions to 400 exercises, over 95% of which are in my bookMathematical Statistics. Many of them are standard exercises that also appear in other textbooks listed in the references. It is only a partial solution manual to Mathematical Statistics (which contains over 900exercises).
Probability Theory.- Fundamentals of Statistics.- Unbiased Estimation.- Estimation in Parametric Models.- Estimation in Nonparametric Models.- Hypothesis Tests.- Confidence Sets.
<P>Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.</P>
<P></P>
<P>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. </P>
<P></P>
<P>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. </P>
<P></P>
<P>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. </P>
<P></P>
<P>Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.</P>
<P>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. </P>
<P></P>
<P>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. </P>
<P></P>
<P>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. </P>
<P></P>
<P>Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.</P>
<p>Contains over 500 exercises and solutions covering a wide variety of topics in mathematical statistics</p><p>Includes supplementary material: sn.pub/extras</p>
<P>This book contains over 500 exercises and solutions covering a wide variey of topics in mathematical statistics.</P>
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