Markov Chains : a primer in random processes and their applications

Preface Introduction: Andrei Markov and his time 1. Discrete-time Markov chains 2. Continuous-time Markov chains: basic theory 3. Statistics of discrete-time Markov chains Afterword: Pearson, Maxwell and other famous Cambridge Wranglers of the past: some lessons to be learned Bibliography Appendix Index.