<P>Springer ebook11-Mathematical Statistics</P>
<P> (一本极好的数理统计研究生教材，2003出版了第二版，可惜这里只有第一版)</P>
<P>（同时，免费赠送第二版的习题解答）</P>
<H2>Mathematical Statistics</H2>
<DIV>Series: <a href="http://www.springer.com/west/home/statistics/theory?SGWID=4-10129-69-173621714-0" target="_blank" >Springer Texts in Statistics</A> <BR><STRONG>Shao</STRONG>, Jun <BR>
<DIV></DIV><!-- Bibliogrpahic information -->1nd ed., 1999, XVI, 545 p., Hardcover<BR>
<DIV>ISBN: 978-0-387-95382-3</DIV>
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<DIV class=Txt25 style="PADDING-RIGHT: 0px; PADDING-LEFT: 0px; PADDING-BOTTOM: 2px; PADDING-TOP: 10px">About this textbook </DIV>
<DIV class=ProductSubContainer style="PADDING-BOTTOM: 7px"><!-- society logo -->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 usefulin 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 the classical results that are typically covered in a textbook of a similar level, this book introduces some topics in modern statistical theory that have been developed in recent years, such as Markov chain Monte Carlo, quasi-likelihoods, empirical likelihoods, statistical functionals, generalized estimation equations, the jackknife, and the bootstrap. Jun Shao is Professor of Statistics at the University of Wisconsin, Madison. Also available: Jun Shao and Dongsheng Tu, The Jackknife and Bootstrap, Springer- Verlag New York, Inc., 1995, Cloth, 536 pp., 0-387-94515-6. </DIV>
<DIV class=TxtB style="PADDING-BOTTOM: 2px">Written for: </DIV>
<DIV >Graduate students</DIV>
<DIV class=TxtB style="PADDING-BOTTOM: 2px">Keywords: </DIV>
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<DIV class=ProductListElement>Mathematical Statistics</DIV>
<DIV class=ProductListElement>Statistical Theory</DIV>
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