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| Preface to the Second Edition | ||
| Preface to the First Edition | ||
| Ch. 1 | Probability Distributions | 1 |
| Ch. 2 | Stochastic Processes: Some Notions | 56 |
| Ch. 3 | Markov Chains | 69 |
| Ch. 4 | Markov Processes with Discrete State Space: Poisson Process and Its Extensions | 157 |
| Ch. 5 | Markov Processes with Continuous State Space | 221 |
| Ch. 6 | Renewal Processes and Theory | 242 |
| Ch. 7 | Markov Renewal and Semi-Markov Processes | 313 |
| Ch. 8 | Stationary Processes and Time Series | 340 |
| Ch. 9 | Branching Processes | 362 |
| Ch. 10 | Stochastic Processes in Queueing and Reliability | 407 |
| Appendix A: Some Basic Mathematical Results | 524 | |
| Appendix B: Answers to Exercises | 560 | |
| Appendix C: Abbreviations | 569 | |
| Appendix C: Glossary of Commonly Used Notations | 570 | |
| Appendix Table D.1 Table of Laplace Transforms | 577 | |
| Appendix Table D.2 Important Probability Distributions and Their Parameters, Moments, Moment Generating Functions | 579 | |
| Appendix Table D.3 Performance Measures [steady state] of Some Queueing Models | 582 | |
| Author Index | 587 | |
| Subject Index | 592 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Cameron Richardson
reviewed Stochastic Processes on July 01, 2012 Stochastic Processes
An easy read since I finished up a stats course last term (I got to skip most of the math explanations). It was an interesting look at probability and I think it would be a good starter book for those who aren't very well-versed in math. I certainly wish I'd found this when I started learning Probability myself as the examples were so thoroughly explained in essentially layman's terms and everything was very easy to understand.
Also with an example entirely about poisson distribution of chocolate chips in the baking of cookies, how can you go wrong? :P
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