The Hierarchy Principle in Designed Industrial Experiments

Autor:	G. Geoffrey Vining, Douglas C. Montgomery, Walter H. Carter, Raymond H. Myers
Rok vydání:	2005
Předmět:	Hierarchy Operations research Computer science Design of experiments Empirical modelling Econometrics Predictive capability Feature selection Model choice Management Science and Operations Research Safety Risk Reliability and Quality Model building Research question
Zdroj:	Quality and Reliability Engineering International. 21:197-201
ISSN:	1099-1638 0748-8017
Popis:	The general question of appropriate criteria for the development of models from a designed experiment is considered. Since models that are found in this setting are generally not mechanistic but rather empirical in nature, the arbitrary requirement of hierarchy may often lead to a model choice that is inferior in terms of satisfying the goals of the experiment. The non-hierarchial model may be no less interpretable than a hierarchial one and may allow for appreciably better predictive capability. Leaving highly insignificant terms in the model for the sake of hierarchy can increase standard errors and result in poor prediction. Parsimony in empirical modeling is often an important virtue. The broader research question revolves around the choice of criteria for model building, variable selection and model discrimination. Copyright © 2005 John Wiley & Sons, Ltd.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4ca51ab3a4a883e562372e9e890392a9 https://doi.org/10.1002/qre.615 Zobrazit plný text záznamu Plný text