January 1, 1961

Modern Probability Theory and its Applications.

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Probability Theory as the Study of Mathematical Models of Random Phenomena. Basic Probability Theory. Independence and Dependence. Numerical-Valued Random Phenomena. Mean and Variance of a Probability Law. Normal, Poisson, and Related Probability Laws. Random Variables. Expectation of a Random Variable. Sums of Independent Random Variables. Sequences of Random Variables. Tables. Answers to Odd-Numbered Exercises. Index.

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Wishart et al. (Sun,) studied this question.

www.synapsesocial.com/papers/6a0921691d1abd907d15fc62 — DOI: https://doi.org/10.2307/2343247

Authors

D. M. G. Wishart

Emanuel Parzen

Journals

Journal of the Royal Statistical Society Series A (General)

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Modern Probability Theory and its Applications.

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