Design related robustness of tests in regression models

DOI10.1080/03610928108828033zbMath0475.62026OpenAlexW2126601666MaRDI QIDQ3930463

Raymond H. Myers, André I. Khuri

Publication date: 1981

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

Full work available at URL: https://doi.org/10.1080/03610928108828033

zbMATH Keywords

non-normalityKurtosisBox-Watson criterionchoice of design

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

Robust designs for first-order multiple design multivariate models

Cites Work

• Secondary design considerations for minimum bias estimation
• THE ANALYSIS OF VARIANCE IN CASES OF NON-NORMAL VARIATION
• A Quadratically Convergent Newton-Like Method Based Upon Gaussian Elimination
• Robustness to non-normality of regression tests
• THE DISTRIBUTION OF THE VARIANCE RATIO IN RANDOM SAMPLES OF ANY SIZE DRAWN FROM NON-NORMAL UNIVERSES
• THE EFFECT OF NON-NORMALITY ON THE POWER FUNCTION OF THE F-TEST IN THE ANALYSIS OF VARIANCE
• A Method of Investigating the Effect of Nonnormality and Heterogeneity of Variance on Tests of the General Linear Hypothesis

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