Continuous-Time Markov Chains - An Applications-Oriented Approach (Paperback, Softcover reprint of the original 1st ed. 1991)

Continuous time parameter Markov chains have been useful for modeling various random phenomena occurring in queueing theory, genetics, demography, epidemiology, and competing populations. This is the first book about those aspects of the theory of continuous time Markov chains which are useful in applications to such areas. It studies continuous time Markov chains through the transition function and corresponding q-matrix, rather than sample paths. An extensive discussion of birth and death processes, including the Stieltjes moment problem, and the Karlin-McGregor method of solution of the birth and death processes and multidimensional population processes is included, and there is an extensive bibliography. Virtually all of this material is appearing in book form for the first time.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	September 2011
First published:	1991
Authors:	William J. Anderson
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	355
Edition:	Softcover reprint of the original 1st ed. 1991
ISBN-13:	978-1-4612-7772-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4612-7772-8
Barcode:	9781461277729

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