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:704
版次:第5版
年份:2024年
規格:平裝/單色
ISBN:9781032803531
1. Axioms of Probability
2. Combinatorial Methods
3. Conditional Probability and Independence
4. Distribution Functions and Discrete Random Variables
5. Continuous Random Variables
6. Special Discrete Distributions
7. Special Continuous Distributions
8. Understanding Relationships: Covariance, Correlations, and Conditional Distributions
9. More Bivariate and Multivariate Topics
10. Inequalities and Limit Theorems
Appendix Tables