| 書目名稱 | Mathematical Statistics |
| 編輯 | Jun Shao |
| 視頻video | http://file.papertrans.cn/627/626591/626591.mp4 |
| 叢書名稱 | Springer Texts in Statistics |
| 圖書封面 |  |
| 描述 | This book is intended for a course entitled Mathematical Statistics o?ered at the Department of Statistics, University of Wisconsin-Madison. This course, taught in a mathematically rigorous fashion, covers essential - terials in statistical theory that a ?rst or second year graduate student typically needs to learn as preparation for work on a Ph. D. degree in stat- tics. The course is designed for two 15-week semesters, with three lecture hours and two discussion hours in each week. Students in this course are assumed to have a good knowledge of advanced calculus. A course in real analysis or measure theory prior to this course is often recommended. Chapter 1 provides a quick overview of important concepts and results in measure-theoretic probability theory that are used as tools in the rest of the book. Chapter 2 introduces some fundamental concepts in statistics, including statistical models, the principle of su?ciency in data reduction, and two statistical approaches adopted throughout the book: statistical decision theory and statistical inference. Each of Chapters 3 through 7 provides a detailed study of an important topic in statistical decision t- ory and inference; Chapter |
| 出版日期 | Textbook 19991st edition |
| 關(guān)鍵詞 | Likelihood; mathematical statistics; probability; probability theory; statistical theory; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b98900 |
| isbn_ebook | 978-0-387-22759-7Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機(jī)版|小黑屋|
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