Modern Probability Theory and Its Applications [Paperback]

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.Probability Theory as the Study of Mathematical Models of RandomPhenomena.

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.

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.