A second course in stochastic processes

This Second Course continues the development of the theory and applications of stochastic processes as promised in the preface of A First Course. We emphasize a careful treatment of basic structures in stochastic processes in symbiosis with the analysis of natural classes of stochastic processes arising from the biological, physical, and social sciences. -- description from https://books.google.com Algebraic Methods In Markov Chains -- Ratio Theorems Of Transition Probabilities And Applications -- Sums Of Independent Random Variables As A Markov Chain -- Order Statistics, Poisson Processes, And Applications -- Continuous Time Markov Chains -- Diffusion Processes -- Compounding Stochastic Processes -- Fluctuation Theory Of Partial Sums Of Independent Identically Distributed Random Variables -- Queuing Processes. Samuel Karlin, Howard M. Taylor. Continues A First Course In Stochastic Processes. Includes Bibliographical References And Index.