Nonlinear regression metamodels: a systematic approach. (22nd January 2010)

• Record Type: Journal Article
• Authors: Reis dos Santos, M. Isabel
• Is Part Of: International journal of simulation and process modelling. Volume 5:Number 3(2009)
• Page Start: 241
• Page End: 255
• Publication Date: 2010-01-22
• Subjects: metamodelling -- discrete event simulation -- nonlinear regression metamodels -- metamodel estimation -- metamodel validation -- methodology; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

This paper proposes an approach for systematic development of nonlinear regression metamodels for stochastic simulation. This approach provides the practitioner with a process for the construction of nonlinear metamodels in general, and includes statistical techniques for estimation and validation of nonlinear regression models. In order to ensure that the resulting metamodel is a valid substitute for the original simulation model, validation techniques are suggested. In a case study, the proposed application leads to simple function that adequately approximate the model's behaviour, while linear regression polynomials result in a poor fit.