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Markov Set-Chains [electronic resource] /
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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| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
1998
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| Subjects: | Mathematics., Computer science, Matrix theory., Algebra., Convex geometry., Discrete geometry., Probabilities., Biomathematics., Probability Theory and Stochastic Processes., Linear and Multilinear Algebras, Matrix Theory., Convex and Discrete Geometry., Mathematical and Computational Biology., Math Applications in Computer Science., |
| Online Access: | http://dx.doi.org/10.1007/BFb0094586 |
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