| 期刊全稱 | Basics of Modern Mathematical Statistics | | 影響因子2023 | Vladimir Spokoiny,Thorsten Dickhaus | | 視頻video | http://file.papertrans.cn/182/181265/181265.mp4 | | 發(fā)行地址 | The book provides a compact and self-contained introduction to modern mathematical statistics.Includes exercises and solution hints.Presents an overview of the main classical findings in mathematical | | 學(xué)科分類 | Springer Texts in Statistics | | 圖書(shū)封面 |  | | 影響因子 | This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. | | Pindex | Textbook 2015 |
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