Limit Theory for Mixing Dependent Random Variables
Author | : Lin Zhengyan |
Publisher | : Springer Science & Business Media |
Total Pages | : 452 |
Release | : 1997-07-31 |
ISBN-10 | : 0792342194 |
ISBN-13 | : 9780792342199 |
Rating | : 4/5 (199 Downloads) |
Download or read book Limit Theory for Mixing Dependent Random Variables written by Lin Zhengyan and published by Springer Science & Business Media. This book was released on 1997-07-31 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random variables, is studied. Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability and moment inequalities, weak convergence and strong convergence (approximation), limit behaviour of some statistics with a mixing sample, and many useful tools are provided. Audience: This volume will be of interest to researchers and graduate students in the field of probability and statistics, whose work involves dependent data (variables).