Approximation Methods in Probability Theory is popular PDF and ePub book, written by Vydas Čekanavičius in 2016-06-16, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Approximation Methods in Probability Theory can be Read Online from any device for your convenience.
Approximation Methods in Probability Theory Book PDF Summary
This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion formulas, the Stein method as well as the methods of convolutions and triangle function. Emphasising the correct usage of the methods presented, each step required for the proofs is examined in detail. As a result, this textbook provides valuable tools for proving approximation theorems. While Approximation Methods in Probability Theory will appeal to everyone interested in limit theorems of probability theory, the book is particularly aimed at graduate students who have completed a standard intermediate course in probability theory. Furthermore, experienced researchers wanting to enlarge their toolkit will also find this book useful.
Detail Book of Approximation Methods in Probability Theory PDF
- Author : Vydas Čekanavičius
- Release : 16 June 2016
- Publisher : Springer
- ISBN : 9783319340722
- Genre : Mathematics
- Total Page : 274 pages
- Language : English
- PDF File Size : 14,9 Mb
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