Models of random processes - Info and Reading Options
Handbook for Mathematicians and Engineers
By Igorʹ Nikolaevich Kovalenko, Kuznetsov, Yu N. and Shurenkov, V. M.
"Models of random processes" was published by CRC Press in 8 July, 1996 - Boca Raton, Florida, it has 450 pages and the language of the book is English.
“Models of random processes” Metadata:
- Title: Models of random processes
- Authors: Igorʹ Nikolaevich KovalenkoKuznetsov, Yu N.Shurenkov, V. M.
- Language: English
- Number of Pages: 450
- Publisher: CRC Press
- Publish Date: 8 July, 1996
- Publish Location: Boca Raton, Florida
“Models of random processes” Subjects and Themes:
- Subjects: ➤ Stochastic processes - Probabilities - Branching processes - Ergodic theory - Random variables - Markov processes - Renewal theory - Simulation. - Mathematical statistics
Edition Specifications:
- Format: Hardcover
- Weight: 2 pounds
- Pagination: iv, 446 pages ; 24 cm
Edition Identifiers:
- The Open Library ID: OL976877M - OL2650035W
- Online Computer Library Center (OCLC) ID: 34473756
- Library of Congress Control Number (LCCN): 96014022
- ISBN-13: 9780849328701
- ISBN-10: 0849328705
- All ISBNs: 0849328705 - 9780849328701
AI-generated Review of “Models of random processes”:
"Models of random processes" Table Of Contents:
- 1- - Preface
- 2- - Preface to the Russian Edition
- 3- - Introduction
- 4- - Definition and General Properties of Random Processes
- 5- - Classification of Random Processes
- 6- - Discrete-Time Markov Chains
- 7- - Main Classes of Constructively Defined Random Processes
- 8- - Random Processes with Independent Increments
- 9- - Processes Associated with a Poisson Process
- 10- - Random Flows of Events
- 11- - Classes of Constructively Defined Random Processes
- 12- - Some Special Classes of Processes
- 13- - Stability of Random Processes
- 14- - Random Processes of the Statistical Radio Engineering
- 15- - Renewal Theory
- 16- - Branching Processes
- 17- - Ergodic Theory and Stationary Processes
- 18- - Markov Processes
- 19- - Statistics for Some Classes of Random Processes
- 20- - Simulation of Random Processes
- 21- - Index
Snippets and Summary:
The theory of random processes is the richest in results and eventual applications of a scientific discipline stemming from the probability theory.
"Models of random processes" Description:
The Open Library:
Devising and investigating random processes that describe mathematical models of phenomena is a major aspect of probability theory applications. Stochastic methods have penetrated into an unimaginably wide scope of problems encountered by researchers who need stochastic methods to solve problems and further their studies. This handbook supplies the knowledge you need on the modern theory of random processes. Packed with methods, Models of Random Processes: A Handbook for Mathematicians and Engineers presents definitions and properties on such widespread processes as Poisson, Markov, semi-Markov, Gaussian, and branching processes, and on special processes such as cluster, self-exiting, double stochastic Poisson, Gauss-Poisson, and extremal processes occurring in a variety of different practical problems.
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