An Introduction to Finite Markov Processes

A continuous parameter, finite state-space Markov process is extremely useful for constructing stochastic models. This monograph provides a consolidated account of the mathematical and statistical properties of finite Markov processes.

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A continuous parameter, finite state-space Markov process is extremely useful for constructing stochastic models in a wide variety of situations in biology, chemistry, demography, electrical engineering, genetics, operations research, physics, sociometry etc. This monograph has been written to provide research workers in these areas and advanced level graduate/post-graduate students of applied probability and mathematical statistics with a consolidated account of the mathematical and statistical properties of finite Markov processes. A distinguishing feature of the book is the inclusion of an exposition of the asymptotic theory of statistical inference associated with finite Markov processes. A collection of 30 problems based on research papers in international journals is provided.