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Minimax and maximin efficient designs for estimating the location-shift parameter of parallel models with dual responses

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  • Lo Huang, Mong-Na
  • Lin, Chun-Sui

Abstract

Minimax designs and maximin efficient designs for estimating the location-shift parameter of a parallel linear model with correlated dual responses over a symmetric compact design region are derived. A comparison of the behavior of efficiencies between the minimax and maximin efficient designs relative to locally optimal designs is also provided. Both minimax or maximin efficient designs have advantage in terms of estimating efficiencies in different situations.

Suggested Citation

  • Lo Huang, Mong-Na & Lin, Chun-Sui, 2006. "Minimax and maximin efficient designs for estimating the location-shift parameter of parallel models with dual responses," Journal of Multivariate Analysis, Elsevier, vol. 97(1), pages 198-210, January.
    • Handle: RePEc:eee:jmvana:v:97:y:2006:i:1:p:198-210
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    References listed on IDEAS

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    1. Dette, Holger & Biedermann, Stefanie, 2003. "Robust and Efficient Designs for the Michaelis-Menten Model," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 679-686, January.
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    Cited by:

    1. Lin, Chun-Sui & Huang, Mong-Na Lo, 2010. "Optimal designs for estimating the control values in multi-univariate regression models," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1055-1066, May.

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