http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Probability and Stochastic Processes Probability Random variables and their distributions Mathematical expectation Joint distribution and independence Convergence of random variables Laplace transform and generating functions Examples of discrete distributions Examples of continuous distributions Stochastic processesStopping times Conditional expectation Poisson Processes Introduction to Poisson processes Arrival and inter-arrival times of Poisson processes Conditional distribution of arrival times Poisson processes with different types of events Compound Poisson processes Nonhomogeneous Poiss.
Front Cover; Contents; Preface; Chapter 1: Probability and stochastic processes; Chapter 2: Poisson processes; Chapter 3: Renewal processes; Chapter 4: Discrete time Markov chains; Chapter 5: Continuous time Markov chain; Chapter 6: Brownian motion and beyond; Bibliography; Back Cover.
Includes bibliographical references and index.