Checking for lack of fit in linear models with parametric variance functions

Edward J. Bedrick

doi:10.1080/00401706.2000.10486044

Checking for lack of fit in linear models with parametric variance functions

Edward J. Bedrick

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

I adapt near-replicate lack-of-fit tests for checking the adequacy of a linear model for means to check for lack of fit in a standard log-linear model for variances. A graphical method for checking lack of fit in the variance model is also proposed. In addition, an overall test of lack of fit in means or variances is presented. Three examples are used to illustrate the techniques.

Original language	English (US)
Pages (from-to)	226-236
Number of pages	11
Journal	Technometrics
Volume	42
Issue number	3
DOIs	https://doi.org/10.1080/00401706.2000.10486044
State	Published - Aug 2000
Externally published	Yes

Keywords

Near replicates
Omnibus test
Regression diagnostics

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation
Applied Mathematics

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10.1080/00401706.2000.10486044

Cite this

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abstract = "I adapt near-replicate lack-of-fit tests for checking the adequacy of a linear model for means to check for lack of fit in a standard log-linear model for variances. A graphical method for checking lack of fit in the variance model is also proposed. In addition, an overall test of lack of fit in means or variances is presented. Three examples are used to illustrate the techniques.",

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Checking for lack of fit in linear models with parametric variance functions

Abstract

Keywords

ASJC Scopus subject areas

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