This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks,…
Review the options below to login to check your access.
Log in with your Cambridge Higher Education account to check access.
There are no purchase options available for this title.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.
AI generated results by Discovery for publishers [opens in a new window]
Online publication date: 30 January 2019
Hardback publication date: 17 February 2014
Online publication date: 11 November 2010
Online publication date: 20 February 2010