Probability and Information Theory: Proceedings of the International Symposium at McMaster University, Canada, April, 1968

Author:   M. Behara ,  K. Krickeberg ,  J. Wolfowitz
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1969 ed.
Volume:   89
ISBN:  

9783540046080


Pages:   260
Publication Date:   01 January 1969
Format:   Paperback
Availability:   In Print   Availability explained
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Probability and Information Theory: Proceedings of the International Symposium at McMaster University, Canada, April, 1968


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Author:   M. Behara ,  K. Krickeberg ,  J. Wolfowitz
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1969 ed.
Volume:   89
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.830kg
ISBN:  

9783540046080


ISBN 10:   3540046089
Pages:   260
Publication Date:   01 January 1969
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

On different characterizations of entropies.- The structure of capacity functions for compound channels.- Boolean algebraic methods in Markov chains.- Maxima of partial sums.- Series expansions for random processes.- Glivenko-Cantelli type theorems for distance functions based on the modified empirical distribution function of M. Kac and for the empirical process with random sample size in general.- On the continuity of Markov processes.- Some mathematical problems in statistical mechanics.- Asymptotic behaviour of the average probability of error for low rates of information transmission.- On the optimum rate of transmitting information.- A necessary and sufficient condition for the validity of the local ergodic theorem.- Recent results on mixing in topological measure spaces.- Convergence in probability and allied results.- Applications of almost surely convergent constructions of weakly convergent processes.- Random processes defined through the interaction of an infinite particle system.- The central limit theorem and ?-entropy.- Maximum probability estimators with a general loss function.

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