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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