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A graphical approach for evaluating and comparing designs for nonlinear models

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  • Khuri, AndreI.
  • Lee, Juneyoung

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  • Khuri, AndreI. & Lee, Juneyoung, 1998. "A graphical approach for evaluating and comparing designs for nonlinear models," Computational Statistics & Data Analysis, Elsevier, vol. 27(4), pages 433-443, June.
    • Handle: RePEc:eee:csdana:v:27:y:1998:i:4:p:433-443
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    References listed on IDEAS

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    1. Khuri, AndreI. & Kim, Hyuk Joo & Um, Yonghwan, 1996. "Quantile plots of the prediction variance for response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 22(4), pages 395-407, August.
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    Cited by:

    1. S. Mukhopadhyay & S. W. Looney, 2009. "Quantile dispersion graphs to compare the efficiencies of cluster randomized designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1293-1305.
    2. Robinson, Kevin S. & Khuri, Andre I., 2003. "Quantile dispersion graphs for evaluating and comparing designs for logistic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 43(1), pages 47-62, May.
    3. S.P. Singh & S. Mukhopadhyay & A. Roy, 2015. "Comparison of three-level cluster randomized trials using quantile dispersion graphs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(8), pages 1792-1812, August.

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