Ebook: Markov Set-Chains
Author: Darald J. Hartfiel (auth.)
- Genre: Mathematics // Mathematicsematical Statistics
- Tags: Probability Theory and Stochastic Processes, Linear and Multilinear Algebras Matrix Theory, Convex and Discrete Geometry, Mathematical Biology in General, Math Applications in Computer Science
- Series: Lecture Notes in Mathematics 1695
- Year: 1998
- Publisher: Springer-Verlag Berlin Heidelberg
- City: New York
- Edition: 1
- Language: English
- djvu
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.
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.
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