# Models of Random Processes: A Handbook for Mathematicians and Engineers by -

**Title:**Models of Random Processes: A Handbook for Mathematicians and Engineers

**Author:**-

**ISBN10:**0849328705

**ISBN13:**978-0849328701

**Publisher:**CRC Press; 1 edition (September 30, 1996)

**Language:**English

**Subcategory:**Mathematics

**Size PDF:**1613 kb

**Size Fb2:**1260 kb

**Rating:**4.2/5

**Votes:**457

**Pages:**448 pages

**Other Format:**mobi doc rtf docx

# Models of Random Processes: A Handbook for Mathematicians and Engineers by -

#### pdf epub fb2 djvu

## Download links

**1613 downloads at 24 mb/s**

PDF version

**1260 downloads at 25 mb/s**

FB2 version

**1435 downloads at 19 mb/s**

ePUB version

Devising and investigating random processes that describe mathematical models of phenomena is a major aspect of probability theory applications. Stochastic methods have penetrated into an unimaginably wide scope of problems encountered by researchers who need stochastic methods to solve problems and further their studies. This handbook supplies the knowledge you need on the modern theory of random processes.Packed with methods, Models of Random Processes: A Handbook for Mathematicians and Engineers presents definitions and properties on such widespread processes as Poisson, Markov, semi-Markov, Gaussian, and branching processes, and on special processes such as cluster, self-exiting, double stochastic Poisson, Gauss-Poisson, and extremal processes occurring in a variety of different practical problems. The handbook is based on an axiomatic definition of probability space, with strict definitions and constructions of random processes. Emphasis is placed on the constructive definition of each class of random processes, so that a process is explicitly defined by a sequence of independent random variables and can easily be implemented into the modelling. Models of Random Processes: A Handbook for Mathematicians and Engineers will be useful to researchers, engineers, postgraduate students and teachers in the fields of mathematics, physics, engineering, operations research, system analysis, econometrics, and many others.