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Titlebook: Approximation Methods in Probability Theory; Vydas Čekanavičius Textbook 2016 Springer International Publishing Switzerland 2016 character

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发表于 2025-3-21 18:18:27 | 显示全部楼层 |阅读模式
期刊全称Approximation Methods in Probability Theory
影响因子2023Vydas Čekanavičius
视频videohttp://file.papertrans.cn/161/160389/160389.mp4
发行地址Presents a unique collection of approximation methods in various metrics.Explains the essential aspects of each method in detail.Includes many exercises with solutions as well as bibliographical notes
学科分类Universitext
图书封面Titlebook: Approximation Methods in Probability Theory;  Vydas Čekanavičius Textbook 2016 Springer International Publishing Switzerland 2016 character
影响因子.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..
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发表于 2025-3-21 20:33:19 | 显示全部楼层
The Stein Method,d to consult the books and papers referenced at the end of this chapter. Here we present just a basic idea of how the method works for the normal approximation and a short introduction to lattice random variables. On the other hand, we include some results that might be viewed as complementary mater
发表于 2025-3-22 01:00:04 | 显示全部楼层
Vydas ČekanavičiusPresents a unique collection of approximation methods in various metrics.Explains the essential aspects of each method in detail.Includes many exercises with solutions as well as bibliographical notes
发表于 2025-3-22 08:26:28 | 显示全部楼层
Universitexthttp://image.papertrans.cn/b/image/160389.jpg
发表于 2025-3-22 12:17:41 | 显示全部楼层
https://doi.org/10.1007/978-3-319-34072-2characteristic function; compound distribution; inversion formula; Kerstan‘s method; m-dependent variabl
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Marketing und Innovationsmanagementd to consult the books and papers referenced at the end of this chapter. Here we present just a basic idea of how the method works for the normal approximation and a short introduction to lattice random variables. On the other hand, we include some results that might be viewed as complementary mater
发表于 2025-3-23 04:27:43 | 显示全部楼层
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