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Journal of the American Statistical Association Volume 92, 1997 - Issue 440
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Theory and Methods

Robust Designs Based on the Infinitesimal Approach

Douglas P. Wiens Statistics Centre, Department of Mathematical Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1, Canada
&
Julie Zhou Department of Mathematical Sciences, Lakehead University, Thunder Bay, Ontario, P7B 5E1, Canada
Pages 1503-1511 | Received 01 Mar 1995, Published online: 17 Feb 2012

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Read on this site (3)

Rena K. Mann, Roderick Edwards & Julie Zhou. (2016) Robust designs for experiments with blocks. Communications in Statistics - Theory and Methods 45:18, pages 5363-5379.
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Julie Zhou. (2001) INTEGER-VALUED, MINIMAX ROBUST DESIGNS FOR APPROXIMATELY LINEAR MODELS WITH CORRELATED ERRORS. Communications in Statistics - Theory and Methods 30:1, pages 21-39.
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J. Alwell Oyet & P. Douglas Wiens. (2000) Robust designs for wavelet approximations of regression models. Journal of Nonparametric Statistics 12:6, pages 837-859.
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Articles from other publishers (6)

Jun Yu, Xiran Meng & Yaping Wang. (2023) Optimal designs for semi-parametric dose-response models under random contamination. Computational Statistics & Data Analysis 178, pages 107615.
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Subir Ghosh & Yun Shen. (2006) Comparison of designs in presence of a possible correlation in observations. Test 15:2, pages 485-504.
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Peter Goos, André Kobilinsky, Timothy E. O’Brien & Martina Vandebroek. (2005) Model-robust and model-sensitive designs. Computational Statistics & Data Analysis 49:1, pages 201-216.
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Sanjoy Sinha & Douglas P. Wiens. (2008) Robust sequential designs for nonlinear regression. Canadian Journal of Statistics 30:4, pages 601-618.
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Douglas P. Wiens & Julie Zohu. (2008) Minimax designs for approximately linear models with AR(1) errors. Canadian Journal of Statistics 27:4, pages 781-794.
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Eugene Demidenko. 1987. Mixed Models. Mixed Models 681 709 .

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