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A direct derivation of the REML likelihood function

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  • Lynn LaMotte

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Suggested Citation

  • Lynn LaMotte, 2007. "A direct derivation of the REML likelihood function," Statistical Papers, Springer, vol. 48(2), pages 321-327, April.
    • Handle: RePEc:spr:stpapr:v:48:y:2007:i:2:p:321-327
    DOI: 10.1007/s00362-006-0335-6
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    Citations

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    Cited by:

    1. Julia Volaufova, 2009. "Heteroscedastic ANOVA: old p values, new views," Statistical Papers, Springer, vol. 50(4), pages 943-962, August.
    2. Kramlinger, Peter & Schneider, Ulrike & Krivobokova, Tatyana, 2023. "Uniformly valid inference based on the Lasso in linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 198(C).
    3. B. Arendacká & S. Puntanen, 2015. "Further remarks on the connection between fixed linear model and mixed linear model," Statistical Papers, Springer, vol. 56(4), pages 1235-1247, November.
    4. Martina Hančová & Andrej Gajdoš & Jozef Hanč & Gabriela Vozáriková, 2021. "Estimating variances in time series kriging using convex optimization and empirical BLUPs," Statistical Papers, Springer, vol. 62(4), pages 1899-1938, August.
    5. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2015. "On estimation in hierarchical models with block circular covariance structures," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(4), pages 773-791, August.
    6. Li, Erning & Pourahmadi, Mohsen, 2013. "An alternative REML estimation of covariance matrices in linear mixed models," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1071-1077.
    7. Dermoune, Azzouz & Rahmania, Nadji & Wei, Tianwen, 2012. "General linear mixed model and signal extraction problem with constraint," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 311-321.

    More about this item

    Keywords

    REML likelihood; mixed models;

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