This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.
發表於2025-01-23
Weak Convergence and Empirical Processes 2025 pdf epub mobi 電子書 下載
圖書標籤: 數學 Statistics 經驗過程 統計 Mathematics 統計學 數學和計算機 Textbook
Bible
評分與你艱苦卓絕的鬥爭還將繼續
評分與你艱苦卓絕的鬥爭還將繼續
評分與你艱苦卓絕的鬥爭還將繼續
評分從Vapnik的SLT看到這本書,看瞭之後很多東西都是茅塞頓開的感覺,對於統計學習也有非常大的指導意義,特彆是M-estimator那裏。可惜太難瞭,一上來就是因為sup而引入的外測度和各種拓撲的內容,初學者根本受不瞭。
Weak Convergence and Empirical Processes 2025 pdf epub mobi 電子書 下載