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An efficient computing strategy for prediction in mixed linear models

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  • Gilmour, Arthur
  • Cullis, Brian
  • Welham, Sue
  • Gogel, Beverley
  • Thompson, Robin

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  • Gilmour, Arthur & Cullis, Brian & Welham, Sue & Gogel, Beverley & Thompson, Robin, 2004. "An efficient computing strategy for prediction in mixed linear models," Computational Statistics & Data Analysis, Elsevier, vol. 44(4), pages 571-586, January.
    • Handle: RePEc:eee:csdana:v:44:y:2004:i:4:p:571-586
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    References listed on IDEAS

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    1. Arũnas P. Verbyla & Brian R. Cullis & Michael G. Kenward & Sue J. Welham, 1999. "The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(3), pages 269-311.
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    Cited by:

    1. Emi Tanaka, 2020. "Simple outlier detection for a multi‐environmental field trial," Biometrics, The International Biometric Society, vol. 76(4), pages 1374-1382, December.
    2. Ugarte, M.D. & Goicoa, T. & Militino, A.F. & Durbán, M., 2009. "Spline smoothing in small area trend estimation and forecasting," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3616-3629, August.
    3. Lee, Dae-Jin & Durbán, María, 2012. "Seasonal modulation mixed models for time series forecasting," DES - Working Papers. Statistics and Econometrics. WS ws122519, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Pringle, M.J. & Baxter, S.J. & Marchant, B.P. & Lark, R.M., 2008. "Spatial analysis of the error in a model of soil nitrogen," Ecological Modelling, Elsevier, vol. 211(3), pages 453-467.
    5. Adriano T. Mastrodomenico & C. Cole Hendrix & Frederick E. Below, 2018. "Nitrogen Use Efficiency and the Genetic Variation of Maize Expired Plant Variety Protection Germplasm," Agriculture, MDPI, vol. 8(1), pages 1-17, January.
    6. Lee, Dae-Jin, 2017. "A general framework for prediction in penalized regression," DES - Working Papers. Statistics and Econometrics. WS 24607, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. El-Bassiouni, M. Y. & Charif, H. A., 2004. "Testing a null variance ratio in mixed models with zero degrees of freedom for error," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 707-719, July.
    8. Brian R. Cullis & Alison B. Smith & Nicole A. Cocks & David G. Butler, 2020. "The Design of Early-Stage Plant Breeding Trials Using Genetic Relatedness," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 553-578, December.

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