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Jittering and clustering: strategies for the construction of robust designs

Statistics and computing, 2024-08, Vol.34 (4), Article 129

Wiens, Douglas P.

2024

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I-robust and D-robust designs on a finite design space

Statistics and computing, 2018-03, Vol.28 (2), p.241-258

Wiens, Douglas P.

2018

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ROBUST DISCRIMINATION DESIGNS OVER HELLINGER NEIGHBOURHOODS

The Annals of statistics, 2017-08, Vol.45 (4), p.1638-1663

2017

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Minimax robust active learning for approximately specified regression models

Canadian journal of statistics, 2018-03, Vol.46 (1), p.104-122

2018

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Model-robust designs for nonlinear quantile regression

Statistical methods in medical research, 2021-01, Vol.30 (1), p.221-232

2021

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ROBUST SAMPLING DESIGNS FOR A POSSIBLY MISSPECIFIED STOCHASTIC PROCESS

Statistica Sinica, 2016-10, Vol.26 (4), p.1525-1542

2016

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Model-Robust Designs for Quantile Regression

Journal of the American Statistical Association, 2015-03, Vol.110 (509), p.233-245

2015

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Robust discrimination designs

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-09, Vol.71 (4), p.805-829

Wiens, Douglas P.

2009

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Optimal designs for spline wavelet regression models

Journal of statistical planning and inference, 2017-05, Vol.184, p.94-104

2017

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Robust model-based stratification sampling designs

Canadian journal of statistics, 2015-12, Vol.43 (4), p.554-577

2015

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Designs for weighted least squares regression, with estimated weights

Statistics and computing, 2013-05, Vol.23 (3), p.391-401

Wiens, Douglas P.

2013

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Robust model-based sampling designs

Statistics and computing, 2013-11, Vol.23 (6), p.689-701

2013

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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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Techniques for the construction of robust regression designs

Canadian journal of statistics, 2013-12, Vol.41 (4), p.679-695

2013

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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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Robustness of design in dose-response studies

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2011-03, Vol.73 (2), p.215-238

2011

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Maximin power designs in testing lack of fit

Journal of statistical planning and inference, 2019-03, Vol.199, p.311-317

Wiens, Douglas P.

2019

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On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model

Statistics & probability letters, 2006-07, Vol.76 (12), p.1265-1272

2006

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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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Robust estimators and designs for field experiments

Journal of statistical planning and inference, 2008, Vol.138 (1), p.93-104

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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Robust active learning with binary responses

Journal of statistical planning and inference, 2022-09, Vol.220, p.1-14

2022

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Robust prediction and extrapolation designs for misspecified generalized linear regression models

Journal of statistical planning and inference, 2008, Vol.138 (1), p.30-46

2008

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Robust designs for one-point extrapolation

Journal of statistical planning and inference, 2008-05, Vol.138 (5), p.1339-1357

2008

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Jittering and clustering: strategies for the construction of robust designs

I-robust and D-robust designs on a finite design space

ROBUST DISCRIMINATION DESIGNS OVER HELLINGER NEIGHBOURHOODS

Minimax robust active learning for approximately specified regression models

Model-robust designs for nonlinear quantile regression

ROBUST SAMPLING DESIGNS FOR A POSSIBLY MISSPECIFIED STOCHASTIC PROCESS

Model-Robust Designs for Quantile Regression

Robust discrimination designs

Optimal designs for spline wavelet regression models

Robust model-based stratification sampling designs

Designs for weighted least squares regression, with estimated weights

Robust model-based sampling designs

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

Techniques for the construction of robust regression designs

Robust minimum information loss estimation

Robustness of design in dose-response studies

Maximin power designs in testing lack of fit

On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model

Robust designs for series estimation

Robust estimators and designs for field experiments

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

Robust active learning with binary responses

Robust prediction and extrapolation designs for misspecified generalized linear regression models

Robust designs for one-point extrapolation

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