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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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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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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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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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V-optimal designs for heteroscedastic regression

Journal of statistical planning and inference, 2014-02, Vol.145, p.125-138

2014

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Locally D-optimal designs for multistage models and heteroscedastic polynomial regression models

Journal of statistical planning and inference, 2006-11, Vol.136 (11), p.4059-4070

2006

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Robust allocation schemes for clinical trials with prognostic factors

Journal of statistical planning and inference, 2005, Vol.127 (1), p.323-340

Wiens, Douglas P.

2005

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Robust static designs for approximately specified nonlinear regression models

Journal of statistical planning and inference, 2014-01, Vol.144, p.55-62

2014

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Robust regression designs for approximate polynomial models

Journal of statistical planning and inference, 2003-12, Vol.117 (2), p.305-321

2003

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Robust designs for misspecified logistic models

Journal of statistical planning and inference, 2009, Vol.139 (1), p.3-15

2009

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Robust designs for misspecified logistic models: Special Issue on Metaheuristics, Combinatorial Optimization and Design of Experiments

Journal of statistical planning and inference, 2009, Vol.139 (1), p.3-15

2009

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Robust designs for approximately polynomial regression

Journal of statistical planning and inference, 1997-11, Vol.64 (2), p.369-381

1997

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Robust weights and designs for biased regression models: Least squares and generalized M-estimation

Journal of statistical planning and inference, 2000-02, Vol.83 (2), p.395-412

Wiens, Douglas P.

2000

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Minimax designs for approximately linear regression

Journal of statistical planning and inference, 1992-06, Vol.31 (3), p.353-371

Wiens, Douglas P.

1992

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Robust designs for approximately linear regression: M-estimated parameters

Journal of statistical planning and inference, 1994-06, Vol.40 (1), p.135-160

Wiens, Douglas P.

1994

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Minimax regression designs for approximately linear models with autocorrelated errors

Journal of statistical planning and inference, 1996-10, Vol.55 (1), p.95-106

1996

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The non-null distribution of the beta statistic in the test of the univariate general linear hypothesis, when the error distribution is spherically symmetric

Journal of statistical planning and inference, 1988, Vol.19 (2), p.245-252

Wiens, Douglas

1988

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Optimal designs for spline wavelet regression models

Maximin power designs in testing lack of fit

Robust estimators and designs for field experiments

Robust active learning with binary responses

Robust prediction and extrapolation designs for misspecified generalized linear regression models

Robust designs for one-point extrapolation

V-optimal designs for heteroscedastic regression

Locally D-optimal designs for multistage models and heteroscedastic polynomial regression models

Robust allocation schemes for clinical trials with prognostic factors

Robust static designs for approximately specified nonlinear regression models

Robust regression designs for approximate polynomial models

Robust designs for misspecified logistic models

Robust designs for misspecified logistic models: Special Issue on Metaheuristics, Combinatorial Optimization and Design of Experiments

Robust designs for approximately polynomial regression

Robust weights and designs for biased regression models: Least squares and generalized M-estimation

Minimax designs for approximately linear regression

Robust designs for approximately linear regression: M-estimated parameters

Minimax regression designs for approximately linear models with autocorrelated errors

The non-null distribution of the beta statistic in the test of the univariate general linear hypothesis, when the error distribution is spherically symmetric

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