Mathematical statistics
Jun Shao
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.
种类:
年:
2003
出版:
2nd ed
出版社:
Springer
语言:
english
页:
607
ISBN 10:
1441929789
ISBN 13:
9781441929785
系列:
Springer texts in statistics
文件:
PDF, 4.72 MB
IPFS:
,
english, 2003
Amazon 
Barnes & Noble 
Bookshop.org 
转换文件
更多搜索结果
其他特权 
关键词
关联书单
