Stochastic Processes by Sheldon M. Ross (1995, Hardcover)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN
9780471120629
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471120626
ISBN-13
9780471120629
eBay Product ID (ePID)
1099187

Product Key Features

Number of Pages
544 Pages
Language
English
Publication Name
Stochastic Processes
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Publication Year
1995
Features
Revised
Type
Textbook
Author
Sheldon M. Ross
Subject Area
Mathematics
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
35.5 Oz
Item Length
9.2 in
Item Width
6.5 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
95-038012
Dewey Edition
20
Dewey Decimal
519.2
Edition Description
Revised edition
Table Of Content
Preliminaries. The Poisson Process. Renewal Theory. Markov Chains. Continuous-Time Markov Chains. Martingales. Random Walks. Brownian Motion and Other Markov Processes. Stochastic Order Relations. Poisson Approximations. Answers and Solutions to Selected Problems. Index.
Synopsis
This book contains material on compound Poisson random variables including an identity which can be used to efficiently compute moments, Poisson approximations, and coverage of the mean time spent in transient states as well as examples relating to the Gibb's sampler, the Metropolis algorithm and mean cover time in star graphs., This book contains material on compound Poisson random variables including an identity which can be used to efficiently compute moments, Poisson approximations, and coverage of the mean time spent in transient states as well as examples relating to the Gibbs sampler, the Metropolis algorithm and mean cover time in star graphs., This book contains material on compound Poisson random variables including an identity which can be used to efficiently compute moments, Poisson approximations, and coverage of the mean time spent in transient states as well as examples relating to the Gibba s sampler, the Metropolis algorithm and mean cover time in star graphs.
LC Classification Number
QA274.R65 1996

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