Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of Variances

DOI10.1002/bimj.4710240610zbMath0495.62049OpenAlexW2166714800MaRDI QIDQ3959288

Moti L. Tiku

Publication date: 1982

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.4710240610

zbMATH Keywords

order statisticslocationexperimental designrobust testsscaletwo-sample problemsmodified maximum likelihood estimatorstesting linear contrasts of means

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Robustness and adaptive procedures (parametric inference) (62F35) Order statistics; empirical distribution functions (62G30)

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Cites Work

• The two-sample trimmed t for unequal population variances
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
• Unnamed Item

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