An Introduction to Stochastic Modeling

by Howard M. Taylor, Samuel Karlin

In this revised edition, the number of exercises has been doubled, and Wald's equation has been added along with examples of sum quota sampling. Chapters are organized around several prototype classes of stochastic processes featuring Markov chains in discrete and continuous time, Poisson processes and renewal theory, the evolution of branching events, and queueing models. Solutions to selected exercises are included. Annotation copyright Book News, Inc. Portland, Or.

Genres: Mathematics, Reference, Textbooks

416 pages, Hardcover

First published August 1, 1984

About the author

See also Howard E. Taylor.

Reviews

[Kevin K. Gillette · Rating 4 out of 5]

This textbook was in draft status when I encountered it as a part of the reading for a course I took in stochastic processes at Stanford from Ian Johnstone. Although the typesetting was rather crude in draft form (remember, this was well before the wonderful WYSIWYG editors like MS-Word), it was an effective and accessible text. It served as my first introduction to the Chapman-Kolmogorov equations, which were very much a foundational concept for this subject.