This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. It presents probability in a natural way: through interesting and instructive examples and exercises that motivate the theory, definitions, theorems, and methodology. This book is mathematically rigorous and, at the same time, closely matches the historical development of probability. Whenever appropriate, historical remarks are included, and the 2096 examples and exercises have been carefully designed to arouse curiosity and hence encourage students to delve into the theory with enthusiasm.
頁數:652
版次:第4版
年份:2019年
規格:精裝/單色
ISBN:9781498755092
1.Axioms of Probability
2.Combinatorial Methods
3.Conditional Probability and Independence
4.Distribution Functions and Discrete Random Variables
5.Special Discrete Distributions
6.Continuous Random Variables
7.Special Continuous Distributions
8.Bivariate Distributions
9.Multivariate Distributions
10.More Expectations and Variances
11.Sums of Independent Random Variables and Limit Theorems
12.Stochastic Processes