| 书目名称 | Statistical Decision Theory | | 副标题 | Estimation, Testing, | | 编辑 | Klaus-J. Miescke,F. Liese | | 视频video | | | 概述 | Presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | This monograph is written for advanced Master’s students, Ph.D. students, and researchers in mathematical statistics and decision theory. It should be useful not only as a basis for graduate courses, seminars, Ph.D. programs, and self-studies, but also as a reference tool. Attheveryleast,readersshouldbefamiliar withbasicconceptscoveredin both advanced undergraduate courses on probability and statistics and int- ductory graduate-level courses on probability theory, mathematical statistics, and analysis. Most statements and proofs appear in a form where standard arguments from measure theory and analysis are su?cient. When additional information is necessary, technical tools, additional measure-theoretic facts, and advanced probabilistic results are presented in condensed form in an - pendix. In particular, topics from measure theory and from the theory of weak convergence of distributions are treated in detail with reference to m- ern books on probability theory, such as Billingsley (1968), Kallenberg (1997, 2002), and Dudley (2002). Building on foundational knowledge, this book acquaints readers with the concepts of classical ?nite sample size decision theory and modern asymptotic | | 出版日期 | Book 2008 | | 关键词 | decision theory; lieselmc; mathematical statistics; statistical theory; statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-73194-0 | | isbn_softcover | 978-1-4419-2513-8 | | isbn_ebook | 978-0-387-73194-0Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York 2008 |
The information of publication is updating
|
|
发表于 2025-3-21 19:15:27
