Applied Probability Models with Optimization Applications by Sheldon M Ross

Applied Probability Models with Optimization Applications by Sheldon M Ross

A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized . an excellent introduction to applied probability. -- Journal of the American Statistical Association.
This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models.
Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition.

SKU	Unavailable
ISBN 13	9780486673141
ISBN 10	0486673146
Title	Applied Probability Models with Optimization Applications
Author	Sheldon M Ross
Series	Dover Books On Mathema 14tics
Condition	Unavailable
Binding Type	Paperback
Publisher	Dover Publications Inc.
Year published	2003-03-28
Number of pages	198
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.