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140122 ||| eng |
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|a 9783540687115
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|a Hartfiel, Darald J.
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|a Markov Set-Chains
|h Elektronische Ressource
|c by Darald J. Hartfiel
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|a 1st ed. 1998
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1998, 1998
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| 300 |
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|a VIII, 132 p
|b online resource
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|a Stochastic matrices and their variants -- to Markov set-chains -- Convergence of Markov set-chains -- Behavior in Markov set-chains
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Mathematical and Computational Biology
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| 653 |
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|a Convex geometry
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| 653 |
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|a Probability Theory
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| 653 |
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|a Mathematical Applications in Computer Science
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| 653 |
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|a Biomathematics
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| 653 |
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|a Linear Algebra
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| 653 |
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|a Convex and Discrete Geometry
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| 653 |
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|a Algebras, Linear
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| 653 |
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|a Discrete geometry
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| 653 |
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|a Probabilities
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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|a Lecture Notes in Mathematics
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|a 10.1007/BFb0094586
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|u https://doi.org/10.1007/BFb0094586?nosfx=y
|x Verlag
|3 Volltext
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|a 519.2
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|a 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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