Modern Probability Theory and Its Applications

Modern Probability Theory and Its Applications

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Résumé

An introduction to probability theory which has been designed for students with a working knowledge of calculus. The text demonstrates how the reader can formulate a probability problem in a mathematical manner so that it can systematically be attacked by routine methods.

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Modern Probability Theory and Its Applications by Emanuel Parzen

Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an appendix of useful tables and answers to odd-numbered questions are also included.

Emanuel Parzen was an American statistician. He worked and published on signal detection theory and time series analysis, where he pioneered the use of kernel density estimation. Parzen was the recipient of the 1994 Samuel S. Wilks Memorial Medal of the American Statistical Association.

SKU Non disponible
ISBN 13 9780471572787
ISBN 10 0471572780
Titre Modern Probability Theory and Its Applications
Auteur Emanuel Parzen
Série Wiley Classics Library
État Non disponible
Type de reliure Paperback
Éditeur John Wiley & Sons Inc
Année de publication 1992-04-02
Nombre de pages 480
Note de couverture La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note Non disponible