4. Conditional probability and independence

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. 1. Mathematics revision 1
5. 2. Introduction to probability 26
6. 3. Finite sample spaces 36
7. 4. Conditional probability and independence 44
8. 5. One-dimensional random variables 59
9. 6. Functions of random variables 73
10. 7. Bi-dimensional random variables 83
11. 8. Characteristics of random variables 100
12. 9. Discrete probability models 119
13. 10. Continuous probability models 133
14. 11. Generating functions in probability 151
15. 12. Sums of many random variables 166
16. 13. Samples and sampling distributions 175
17. 14. Estimation of parameters 191
18. 15. Hypothesis tests 221
19. Appendix 246
20. References 280
21. Index 281