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Song, Iickho.

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Probability and random variables = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability and random variables/ by Iickho Song, So Ryoung Park, Seokho Yoon.
Reminder of title:	theory and applications /
Author:	Song, Iickho.
other author:	Park, So Ryoung.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xii, 496 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Probabilities. -
Online resource:	https://doi.org/10.1007/978-3-030-97679-8
ISBN:	9783030976798

Probability and random variables = theory and applications /
Song, Iickho.

Probability and random variablestheory and applications /[electronic resource] :by Iickho Song, So Ryoung Park, Seokho Yoon. - Cham :Springer International Publishing :2022. - xii, 496 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783030976798

Standard No.: 10.1007/978-3-030-97679-8doiSubjects--Topical Terms:

518889
Probabilities.

LC Class. No.: QA273 / .S65 2022

Dewey Class. No.: 519.2

Probability and random variables = theory and applications /
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245 1 0 $a Probability and random variables $h [electronic resource] : $b theory and applications / $c by Iickho Song, So Ryoung Park, Seokho Yoon.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xii, 496 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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