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Selecting the Best Linear Mixed Model Under REML

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  • Gurka, Matthew J.

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  • Gurka, Matthew J., 2006. "Selecting the Best Linear Mixed Model Under REML," The American Statistician, American Statistical Association, vol. 60, pages 19-26, February.
    • Handle: RePEc:bes:amstat:v:60:y:2006:m:february:p:19-26
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    Cited by:

    1. Haitao Zheng & Jie Hu & Rong Guan & Shanshan Wang, 2016. "Examining Determinants of CO 2 Emissions in 73 Cities in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
    2. Tang, Niansheng & Wu, Ying & Chen, Dan, 2018. "Semiparametric Bayesian analysis of transformation linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 166(C), pages 225-240.
    3. Giulia Fuochi & Alberto Voci, 2021. "Dealing with the Ups and Downs of Life: Positive Dispositions in Coping with Negative and Positive Events and Their Relationships with Well-Being Indicators," Journal of Happiness Studies, Springer, vol. 22(6), pages 2435-2456, August.
    4. Joseph G. Ibrahim & Hongtu Zhu & Ramon I. Garcia & Ruixin Guo, 2011. "Fixed and Random Effects Selection in Mixed Effects Models," Biometrics, The International Biometric Society, vol. 67(2), pages 495-503, June.
    5. Dimova, Rositsa B. & Markatou, Marianthi & Talal, Andrew H., 2011. "Information methods for model selection in linear mixed effects models with application to HCV data," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2677-2697, September.
    6. Gurka, Matthew J. & Edwards, Lloyd J. & Nylander-French, Leena, 2007. "Testing transformations for the linear mixed model," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4297-4307, May.

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