Skip to Main Content

Stochastic Population Processes: Analysis, Approximations, Simulations

Online ISBN:
9780191728778
Print ISBN:
9780199575312
Publisher:
Oxford University Press
Book

Stochastic Population Processes: Analysis, Approximations, Simulations

Eric Renshaw
Eric Renshaw
Emeritus Professor of Statistics, University of Strathclyde, UK
Find on
Published online:
22 September 2011
Published in print:
24 February 2011
Online ISBN:
9780191728778
Print ISBN:
9780199575312
Publisher:
Oxford University Press

Abstract

The vast majority of random processes in the real world have no memory — the next step in their development depends purely on their current state. Stochastic realizations are therefore defined purely in terms of successive event-time pairs, and such systems are easy to simulate irrespective of their degree of complexity. However, whilst the associated probability equations are straightforward to write down, their solution usually requires the use of approximation and perturbation procedures. Traditional books, heavy in mathematical theory, often ignore such methods and attempt to force problems into a rigid framework of closed-form solutions.

Contents
Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close