[PDF.86vv] Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population

Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population

[PDF.zr18] Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population

Comparisons of Stochastic Matrices  Joel E. Cohen, J.H.B. Kempermann, G. Zbaganu epub
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 | #6180063 in Books |  Birkhäuser |  1998-09-29 | Original language:English | PDF # 1 |  9.21 x.44 x6.14l,.94 | File type: PDF | 158 pages

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|| ||"This book gives a mathematical treatment of a variety of methods for quantifying divergence or similarity between sets of proability distributions on a common space. Classical metrics, such as total variation and Kullback--Liebler divergence, are generalized

The focus of this work is on generalizing the notion of variation in a set of numbers to variation in a set of probability distributions. The authors collect some known ways of comparing stochastic matrices in the context of information theory, statistics, economics, and population sciences. They then generalize these comparisons, introduce new comparisons, and establish the relations of implication or equivalence among sixteen of these comparisons. Some of the possible ...

You can specify the type of files you want, for your gadget.Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population   |  Joel E. Cohen, J.H.B. Kempermann, G. Zbaganu. Which are the reasons I like to read books. Great story by a great author.

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