This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 352
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #308425
Title: Issues in Nonlinear and Dynamic Modeling
Author(s): Lucas Beverlin*+ and Derrick Rollins
Companies: Iowa State University and Iowa State University
Address: Department of Statistics, Ames, IA, 50011,
Keywords: nonlinear models ; correlation ; transfer functions
Abstract:

The class of nonlinear models can fit a wide variety of data. A subclass of nonlinear models, called transfer function models, can be used to address cause and effect and can be constructed so that the parameters are physically interpretable due to their roots in the laws of conservation. With the proper structure, these models can be useful in prediction even in the presence of correlated predictor variables. However, as more predictor variables are added, the number of parameters that need to be estimated will increase greatly. Thus fitting these models can become very difficult. Examples will be given that illustrate these issues and features.


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