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Robustness of design for the testing of lack of fit and for estimation in binary response models

Computational statistics & data analysis, 2010-12, Vol.54 (12), p.3371-3378

Wiens, Douglas P.

2010

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Robust designs for dose–response studies: Model and labelling robustness

Computational statistics & data analysis, 2021-06, Vol.158, p.107189, Article 107189

Wiens, Douglas P.

2021

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Robust minimum information loss estimation

Computational statistics & data analysis, 2013-09, Vol.65, p.98-112

2013

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Robust designs for series estimation

Computational statistics & data analysis, 2008-05, Vol.52 (9), p.4305-4324

2008

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A comparative study of robust designs for M-estimated regression models

Computational statistics & data analysis, 2010-06, Vol.54 (6), p.1683-1695

2010

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New criteria for robust integer-valued designs in linear models

Computational statistics & data analysis, 2006-11, Vol.51 (2), p.723-736

2006

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Special issue on Design of Experiments

Computational statistics & data analysis, 2017-09, Vol.113, p.194-195

2017

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Robustness of design for the testing of lack of fit and for estimation in binary response models : Variable selection and robust procedures

Computational statistics & data analysis, 2010, Vol.54 (12), p.3371-3378

WIENS, Douglas P

2010

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A note on the computation of robust, bounded influence estimates and test statistics in regression

Computational statistics & data analysis, 1992-03, Vol.13 (2), p.211-220

Wiens, Douglas P.

1992

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Robustness of design for the testing of lack of fit and for estimation in binary response models

Robust designs for dose–response studies: Model and labelling robustness

Robust minimum information loss estimation

Robust designs for series estimation

A comparative study of robust designs for M-estimated regression models

New criteria for robust integer-valued designs in linear models

Special issue on Design of Experiments

Robustness of design for the testing of lack of fit and for estimation in binary response models : Variable selection and robust procedures

A note on the computation of robust, bounded influence estimates and test statistics in regression

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