£135.00

Wiley-Blackwell Wiley Ergodicity and Stability of Stochastic Processes Book

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Description

This academic text provides a detailed account of ergodicity and the stability of random processes. Part of the Wiley Series in Probability and Statistics, the book offers a deep look into Markov chains (MC) within arbitrary state spaces. It covers essential topics such as stochastic recursive sequences (SRC) and Markov chains in random environments (MCRI), including their continuous time analogues. Readers can explore the applications of vector-valued processes in real-world scenarios. The text specifically addresses how these processes establish conditions of ergodicity within various queueing and communication networks. This includes study of polling networks, Jackson networks, and multi-access networks related to the ALOHA algorithm. This book serves as a technical resource for those studying applied mathematics and stochastic processes.

Key Features

Explores Markov chains (MC) in arbitrary state space and their continuous time analogues.

Covers stochastic recursive sequences (SRC) and Markov chains in random environments (MCRI).

Provides analysis of vector-valued processes for advanced mathematical study.

Applies ergodicity conditions to queueing and communication networks.

Includes technical details on polling networks and Jackson networks.

Addresses multi-access networks associated with the ALOHA algorithm.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 July 1998
Listed Since
13 February 2007

Barcode

No barcode data available

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