A Graduate Course in Probability - Tucker, Howard G.; Stone, Meg
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Suitable for a graduate course in analytic probability, this text covers probability spaces and distributions, stochastic independence, strong limit theorems for independent random variables, stochastic processes, and much more. 1967 edition.

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Produktbeschreibung
Suitable for a graduate course in analytic probability, this text covers probability spaces and distributions, stochastic independence, strong limit theorems for independent random variables, stochastic processes, and much more. 1967 edition.
Autorenporträt
Howard G. Tucker is Professor Emeritus of Mathematics at the University of California, Irvine. His other books include Mathematical Methods for Sample Surveys.