Elements of Applied Stochastic Processes

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John Wiley, 1972 - 414 pages
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Stochastic processes: description and definition; The two-state markov process; Markov chains: classification of states; Finite markov chains; Markov chains with countably infinite states; Simple markov processes; Renewal processes; Stationary processes: some general properties; Markov decision processes; Congestion processes; Stochastic processes in reliability theory; Time series analysis; Social and behavioral processes; Some markov models in business and sports.

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Contents

INTRODUCTION
1
DESCRIPTION
7
THE TWOSTATE MARKOV PROCESS
18
Copyright

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About the author (1972)

U. NARAYAN BHAT, PhD, is Professor of Statistical Science and Operations Research as well as the Dean of Research and Graduate Studies at Southern Methodist University.

GREGORY K. MILLER, PhD, is Associate Professor of Statistics at Stephen F. Austin State University.

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