Content:
Front Matter, Page iii
Copyright, Page iv
PREFACE, Pages v-vi
DIAGRAM OF LOGICAL DEPENDENCE OF CHAPTERS, Page xi
Chapter 1 - ELEMENTS OF STOCHASTIC PROCESSES, Pages 1-26
Chapter 2 - MARKOV CHAINS, Pages 27-60
Chapter 3 - THE BASIC LIMIT THEOREM OF MARKOV CHAINS AND APPLICATIONS, Pages 61-93
Chapter 4 - ALGEBRAIC METHODS IN MARKOV CHAINS, Pages 94-124
Chapter 5 - RATIO THEOREMS OF TRANSITION PROBABILITIES AND APPLICATIONS, Pages 125-148
Chapter 6 - SUMS OF INDEPENDENT RANDOM VARIABLES AS A MARKOV CHAIN, Pages 149-174
Chapter 7 - CLASSICAL EXAMPLES OF CONTINUOUS TIME MARKOV CHAINS, Pages 175-217
Chapter 8 - CONTINUOUS TIME MARKOV CHAINS, Pages 218-235
Chapter 9 - ORDER STATISTICS, POISSON PROCESSES, AND APPLICATIONS, Pages 236-270
Chapter 10 - BROWNIAN MOTION, Pages 271-285
Chapter 11 - BRANCHING PROCESSES, Pages 286-335
Chapter 12 - COMPOUNDING STOCHASTIC PROCESSES, Pages 336-372
Chapter 13 - DETERMINISTIC AND STOCHASTIC GENETIC AND ECOLOGICAL PROCESSES, Pages 373-429
Chapter 14 - QUEUEING PROCESSES, Pages 430-468
APPENDIX - REVIEW OF MATRIX ANALYSIS, Pages 469-484
MISCELLANEOUS PROBLEMS, Pages 485-498
INDEX, Pages 499-502