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Synopsis
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.
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About the Author
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.
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MODERN PROBABILITY THEORY AND ITS APPLICATIONS
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MODERN PROBABILITY THEORY AND ITS APPLICATIONS
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Modern Probability Theory and Its Applications (Wiley Classics Library)
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Modern Probability Theory and its Applications
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