Modeling Random Processes for Engineers and Managers

by James J. Solberg

Modeling Random Processes for Engineers and Managers provides students with a "gentle" introduction to stochastic processes, emphasizing full explanations and many examples rather than formal mathematical theorems and proofs. The text offers an accessible entry into a very useful and versatile set of tools for dealing with uncertainty and variation. Many practical examples of models, as well as complete explanations of the thought process required to create them, motivate the presentation of the computational methods. In addition, the text contains a previously unpublished computational approach to solving many of the equations that occur in Markov processes. Modeling Random Processes is intended to serve as an introduction, but more advanced students can use the case studies and problems to expand their understanding of practical uses of the theory.

320 pages, Hardcover

First published December 19, 2008

Reviews

[Hussain Alibrahim · Rating 3 out of 5]

Very introductory and basic. I liked how he explains the logic and proofs in a very clear way before introducing the mathematics behind it.