Modern probability theory and its applications
Author(s)
Bibliographic Information
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
Available at / 36 libraries
-
No Libraries matched.
- Remove all filters.
Note
Originally published: New York : Wiley, 1960
Includes index
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"
