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In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.
Published by: Springer
Publication Date: 1998-08-20
Format: Paperback
ISBN-13: 9783540647751
DOI: 10.1007/BFb0094586
Dimensions: 279cm x216cm
Pages: 132