Testing lack of fit in regression without replication

DOI10.2307/3315113zbMath0445.62075OpenAlexW2121913024MaRDI QIDQ3889951

E. Richard Shillington

Publication date: 1979

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315113

zbMATH Keywords

mean squared errorpowergoodness-of-fitmodel adequacytesting lack of fit

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

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Cites Work

• Unnamed Item
• The Use of Balanced Half-Sample Replication in Cross-Validation Studies
• Is the Regression Equation Adequate?: One Criterion
• Validation of Regression Models: Methods and Examples
• Is the Regression Equation Adequate?: A Generalization
• On Testing the Adequacy of a Regression Model
• An analysis of variance test for normality (complete samples)
• Testing Departure from a Regression, without Using Replication