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Probability and Information Theory: Proceedings of the International Symposium at McMaster University, Canada, April, 1968 /
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Details
Dewey Class
519.2
Titel
Probability and Information Theory ([EBook] :) : Proceedings of the International Symposium at McMaster University, Canada, April, 1968 / / edited by M. Behara, K. Krickeberg, J. Wolfowitz.
Added Personal Name
Behara, M.
editor.
Krickeberg, K.
editor.
Wolfowitz, J.
editor.
Other name(s)
SpringerLink (Online service)
Veröffentl
Berlin, Heidelberg : : Springer Berlin Heidelberg : : Imprint: Springer, , 1969.
Physical Details
IV, 260 p. : online resource.
Reihe
Lecture Notes in Mathematics
0075-8434 ; ; 89
ISBN
9783540360988
Contents note
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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Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/BFb0079113
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Schlagwörter:
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Mathematical Statistics
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Mathematics
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Popular Science, general
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Probabilities
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Probability and Statistics in Computer Science
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Probability theory and stochastic processes
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Authors:
Behara, M.
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Krickeberg, K.
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Wolfowitz, J.
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SpringerLink (Online service)
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Series:
Lecture Notes in Mathematics
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Classification:
519.2
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