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Abstract Details

Activity Number: 667
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #304570
Title: Asymptotic Behavior of a Stochastic Population Model
Author(s): Samuel Woolford*+ and Norm Josephy and Mihaela Predescu
Companies: Bentley University and Bentley University and Bentley University
Address: 175 Forest St, Waltham, MA, 02452, United States
Keywords: stochastic difference equations ; nonlinear models ; asymptotic behavior ; stability behavior
Abstract:

This talk considers the global stability characteristics of solutions of a discrete time, nonlinear system of stochastic difference equations that arise in the study of a two-stage population model. The global behavior of the underlying deterministic system was studied in a previous paper by the authors. This talk considers two approaches to incorporate stochastic elements into the deterministic system and shows that the asymptotic behavior of the stochastic model is strongly influenced by the different stability regions associated with the deterministic system. However, the stochastic system also exhibits behavior that is not suggested by the deterministic system. These results have implications for model identification in applied settings.


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