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The specification of rank reducing observation sets in experimental design

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  • Godolphin, J.D.

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  • Godolphin, J.D., 2006. "The specification of rank reducing observation sets in experimental design," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1862-1874, December.
    • Handle: RePEc:eee:csdana:v:51:y:2006:i:3:p:1862-1874
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    References listed on IDEAS

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    1. Richard G. Jarrett, 1978. "The Analysis of Designed Experiments with Missing Observations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(1), pages 38-46, March.
    2. J. D. Godolphin, 2004. "Simple pilot procedures for the avoidance of disconnected experimental designs," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(1), pages 133-147, January.
    3. Mansson, Ralph & Prescott, Philip, 2002. "Missing observations in Youden square designs," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 329-338, August.
    4. Prescott, Philip & Mansson, Ralph, 2004. "Robustness of diallel cross designs to the loss of one or more observations," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 91-109, August.
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    Cited by:

    1. John N.S. Matthews & Sofia Bazakou & Robin Henderson & Linda D. Sharples, 2023. "Contrasting principal stratum and hypothetical strategy estimands in multi‐period crossover trials with incomplete data," Biometrics, The International Biometric Society, vol. 79(3), pages 1896-1907, September.
    2. Godolphin, J.D., 2009. "New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2119-2128, April.
    3. Bate, S.T. & Godolphin, E.J. & Godolphin, J.D., 2008. "Choosing cross-over designs when few subjects are available," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1572-1586, January.
    4. Godolphin, J.D. & Warren, H.R., 2014. "An efficient procedure for the avoidance of disconnected incomplete block designs," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1134-1146.

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    1. Prescott, Philip & Mansson, Ralph, 2004. "Robustness of diallel cross designs to the loss of one or more observations," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 91-109, August.
    2. Godolphin, J.D. & Warren, H.R., 2014. "An efficient procedure for the avoidance of disconnected incomplete block designs," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1134-1146.
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