Modern probability theory and its applications
著者
書誌事項
Modern probability theory and its applications
（Wiley classics library）（A Wiley publication in mathematical statistics）（A Wiley-Interscience publication）
Wiley, 1992, c1960
Wiley classics library ed.
- : pbk
大学図書館所蔵 全36件
注記
Originally published: New York : Wiley, 1960
Includes index
内容説明・目次
内容説明
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.
目次
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.
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