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Elements Of The Theory Of Markov Processes And Their Applications: McGraw Hill Series In Probability And Statistics - Hardcover

 
9781258436858: Elements Of The Theory Of Markov Processes And Their Applications: McGraw Hill Series In Probability And Statistics

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""Elements of the Theory of Markov Processes and Their Applications"" is a comprehensive book written by Albert T. Bharucha-Reid, published as a part of the McGraw Hill Series in Probability and Statistics. The book is a detailed guide to the theory of Markov processes, which are stochastic processes that exhibit the Markov property, meaning that the future states of the process depend only on the current state and not on any past states.The book starts with an introduction to the basics of Markov processes and their properties, including the Chapman-Kolmogorov equations, stationary distributions, and ergodicity. It then covers a range of topics related to Markov processes, including continuous-time processes, birth and death processes, and diffusion processes.The book also includes a section on applications of Markov processes, such as in queuing theory, reliability theory, and finance. The author provides numerous examples and exercises throughout the book to help readers understand the concepts and their applications.Overall, ""Elements of the Theory of Markov Processes and Their Applications"" is a valuable resource for students and researchers in the field of probability and statistics, as well as for practitioners in various industries who use Markov processes in their work.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

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9781258442309: Elements Of The Theory Of Markov Processes And Their Applications: McGraw Hill Series In Probability And Statistics

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