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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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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Zustand: New. 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 r. Artikel-Nr. 446917274
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