Testing for lack of fit in regression - a review

DOI10.1080/03610928408828696zbMath0552.62057OpenAlexW2010604488MaRDI QIDQ3345625

Dallas E. Johnson, James W. Neill

Publication date: 1984

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928408828696

zbMATH Keywords

reviewdistributional assumptionstestslack of fitmodel adequacypredictive capabilityfunctional misspecificationdeterministic portion

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (8)

A nonparametric test of fit of a parametric model ⋮ A comparison of some lack of fit tests based on near replicates ⋮ A nonparametric lack-of-fit test for heteroscedastic regression models ⋮ Gini's multiple regressions: two approaches and their interaction ⋮ Using the Variagraph to Test Lack of Fit of a Parametric Regression Model Without Replication ⋮ The effect of nonnormality on near‐replicate lack‐of‐fit tests ⋮ Some properties of inferences in misspecified linear models ⋮ A nonparametric test of fit of a linear model

Cites Work

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• A test for regression function adequacy
• Is the Regression Equation Adequate?: One Criterion
• Residuals in tests for adequacy of regression relationships
• Design criteria for detecting model inadequacy
• On test statistics calculated from residuals
• Planning experiments to detect inadequate regression models

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