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Probability and Random Variables: Theory and Applications / by Iickho Song, So Ryoung Park, Seokho Yoon

1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ XII, 496 p. 104 illus., 94 illus. in color : online resource
著者標目 *Song, Iickho author
Park, So Ryoung author
Yoon, Seokho author
SpringerLink (Online service)
件 名 LCSH:Statistics 
LCSH:Probabilities
FREE:Statistical Theory and Methods
FREE:Probability Theory
一般注記 Preface -- Chapter 1 - Preliminaries -- Chapter 2 - Fundamentals of Probability -- Chapter 3 - Random Variables -- Chapter 4 - Random Vectors -- Chapter 5 - Normal Random Vectors -- Chapter 6 - Convergence of Random Variables -- Answers to Selected Exercises -- Index
This book discusses diverse concepts and notions – and their applications – concerning probability and random variables at the intermediate to advanced level. It explains basic concepts and results in a clearer and more complete manner than the extant literature. In addition to a range of concepts and notions concerning probability and random variables, the coverage includes a number of key advanced concepts in mathematics. Readers will also find unique results on e.g. the explicit general formula of joint moments and the expected values of nonlinear functions for normal random vectors. In addition, interesting applications of the step and impulse functions in discussions on random vectors are presented. Thanks to a wealth of examples and a total of 330 practice problems of varying difficulty, readers will have the opportunity to significantly expand their knowledge and skills. The book is rounded out by an extensive index, allowing readers to quickly and easily find what they are looking for. Given its scope, the book will appeal to all readers with a basic grasp of probability and random variables who are looking to go one step further. It also offers a valuable reference guide for experienced scholars and professionals, helping them review and refine their expertise
HTTP:URL=https://doi.org/10.1007/978-3-030-97679-8
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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000141808
ISBN 9783030976798

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