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The mixed model for multivariate repeated measures: validity conditions and an approximate test

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  • Robert Boik

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  • Robert Boik, 1988. "The mixed model for multivariate repeated measures: validity conditions and an approximate test," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 469-486, December.
    • Handle: RePEc:spr:psycho:v:53:y:1988:i:4:p:469-486
    DOI: 10.1007/BF02294401
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    References listed on IDEAS

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    1. Raymond Collier & Frank Baker & Garrett Mandeville & Thomas Hayes, 1967. "Estimates of test size for several test procedures based on conventional variance ratios in the repeated measures design," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 339-353, September.
    2. D. Thomas, 1983. "Univariate repeated measures techniques applied to multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 48(3), pages 451-464, September.
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    Cited by:

    1. Dayanand Naik & Shantha Rao, 2001. "Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 91-105.
    2. Mathew, Thomas & Nordström, Kenneth, 1997. "Wishart and Chi-Square Distributions Associated with Matrix Quadratic Forms," Journal of Multivariate Analysis, Elsevier, vol. 61(1), pages 129-143, April.
    3. Phil D. Young & Joshua D. Patrick & Dean M. Young, 2023. "A Brief Derivation of Necessary and Sufficient Conditions for a Family of Matrix Quadratic Forms to Have Mutually Independent Non-Central Wishart Distributions," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 478-484, February.
    4. Christian Acal & Ana M. Aguilera, 2023. "Basis expansion approaches for functional analysis of variance with repeated measures," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 291-321, June.

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