Introduction to Applied Probability

Content: 
Front Matter, Page iii
Copyright, Page iv
Preface, Pages xi-xiii
Acknowledgments, Page xv
Chapter 1 - An Approach to Probability, Pages 3-9
Chapter 2 - Some Elementary Strategies of Counting, Pages 10-36
Chapter 3 - Sets and Events, Pages 39-66
Chapter 4 - A Probability System, Pages 67-83
Chapter 5 - Conditional Probability, Pages 84-112
Chapter 6 - Independence in Probability Theory, Pages 113-136
Chapter 7 - Composite Trials and Sequences of Events, Pages 137-157
Chapter 8 - Random Variables, Pages 161-184
Chapter 9 - Distribution and Density Functions, Pages 185-206
Chapter 10 - Joint Probability Distributions, Pages 207-224
Chapter 11 - Independence of Random Variables, Pages 225-236
Chapter 12 - Functions of Random Variables, Pages 237-253
Chapter 13 - Mathematical Expectation and Mean Value, Pages 257-273
Chapter 14 - Variance and Other Moments, Pages 274-295
Chapter 15 - Correlation and Covariance, Pages 296-310
Chapter 16 - Conditional Expectation, Pages 311-327
Chapter 17 - Sequences of Random Variables, Pages 331-348
Chapter 18 - Constant Markov Chains, Pages 349-371
Appendix A - Numerical Tables, Pages 373-379
Appendix B - Some Mathematical Aids, Pages 381-385
Selected References, Pages 387-388
Selected Answers and Hints, Pages 389-393
Index of Symbols and Abbreviations, Pages 395-396
Index, Pages 397-403