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Robust analysis of two-way models with repeated measures on both factors

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Summary

A robust analysis of two-way models with repeated measures on both factors is developed using a dispersion function. This robust analysis gives users a complete inference: Estimation, tests for the general linear hypotheses, and multiple comparison procedures. Asymptotic relative efficiencies of the rank tests with respect to the least-squares counterpart are discussed. Analyses of two real life examples from medical and pharmaceutical studies are presented.

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Authors and Affiliations

  1. Dept. of Mathematical Sciences, Worcester Polytechnic Institute, 01609, Worcester, Massachusetts, USA

    M. Mushfiqur Rashid

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  1. M. Mushfiqur Rashid
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Rashid, M.M. Robust analysis of two-way models with repeated measures on both factors. Test 4, 39–62 (1995). https://doi.org/10.1007/BF02563102

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  • DOI: https://doi.org/10.1007/BF02563102

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