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Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population
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Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population
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Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and PopulationFocuses on generalizing the notion of variation in a set of numbers to the notion of variation in a set of probability distributions. The work collects known ways of comparing stochastic matrices, and then generalizes these, and establishes the relations of implication or equivalence among some. Author: Joel E. Cohen, J. H. B. Kempermann, G. Zbaganu Publisher: Birkhauser Published: 09 29 1998 Pages: 158 Binding Type: Hardcover Weight: 0. 94lbs Size:
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Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population
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