Douglas P. Wiens

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A robust treatment of a dose--response study

Douglas P. Wiens, Pengfei Li, D. Wiens, 2012 .

Robust minimum information loss estimation

Douglas P. Wiens, Victor J. Yohai, John C. Lind, 2013, Comput. Stat. Data Anal..

20 of Design

Douglas P. Wiens, D. Wiens, 2015 .

Optimal Robust Methods for Prediction and Design in Spatial Studies Running title: Spatial Prediction and Design

Douglas P. Wiens, 2003 .

New criteria for robust integer-valued designs in linear models

Douglas P. Wiens, Adeniyi J. Adewale, D. Wiens, 2006, Comput. Stat. Data Anal..

Robuts discrimination designs

Douglas P. Wiens, 2010 .

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

Douglas P. Wiens, Eden K. H. Wu, D. Wiens, 2010, Comput. Stat. Data Anal..

Special issue on Design of Experiments

Douglas P. Wiens, Jesús López-Fidalgo, Alexander N. Donev, 2017, Comput. Stat. Data Anal..

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

Douglas P. Wiens, D. Wiens, 2018, Stat. Comput..

MATCH - A Software Package for Robust Profile Matching Using S-Plus

Douglas P. Wiens, D. Wiens, 2004 .

Robust designs for series estimation

Holger Dette, Douglas P. Wiens, 2008, Comput. Stat. Data Anal..

Author's Personal Copy Computational Statistics and Data Analysis Robustness of Design for the Testing of Lack of Fit and for Estimation in Binary Response Models

Douglas P. Wiens, D. Wiens, 2022 .

Robust model-based sampling designs

Douglas P. Wiens, Alan H. Welsh, D. Wiens, 2013, Stat. Comput..

Introduction and Historical Overview

Douglas P. Wiens, D. Wiens, 2015 .

Designs for weighted least squares regression, with estimated weights

Douglas P. Wiens, D. Wiens, 2013, Stat. Comput..

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

Douglas P. Wiens, D. Wiens, 2021, Comput. Stat. Data Anal..

Bounded‐influence rank estimation in the linear model

Douglas P. Wiens, Julie Zhou, Julie Zhou, 1994 .

Optimal, robust R-estimators and test statistics in the linear model

Yu Wang, Douglas P. Wiens, 1992 .

Minimax Variance M-Estimators in $\varepsilon$-Contamination Models

Douglas P. Wiens, John R. Collins, 1985 .

Robust minimax designs for multiple linear regression

Douglas P. Wiens, D. Wiens, 1990 .

Correction factors for F ratios in nonlinear regression

Douglas P. Wiens, David C. Hamilton, 1987 .

Robustness of design in dose–response studies

Pengfei Li, Douglas P. Wiens, D. Wiens, 2011 .

Robust prediction and extrapolation designs for misspecified generalized linear regression models

Douglas P. Wiens, Xiaojian Xu, 2008 .

Robust designs for misspecified logistic models

Douglas P. Wiens, D. Wiens, A. Adewale, 2009 .

Minimax‐variance L‐ and R‐estimators of location

Douglas P. Wiens, D. Wiens, 1990 .

On the busy period distribution of the M/G/2 queueing system

Douglas P. Wiens, D. Wiens, 1989, Journal of Applied Probability.

Asymptotic Properties of a Neyman-Pearson Test for Model Discrimination, with an Application to Experimental Design

Douglas P. Wiens, D. Wiens, 2009 .

Bias Constrained Minimax Robust Designs for Misspecified Regression Models

Douglas P. Wiens, 2000 .

Robust designs for 3D shape analysis with spherical harmonic descriptors

Holger Dette, Douglas P. Wiens, D. Wiens, 2004 .

Minimax regression designs for approximately linear models with autocorrelated errors

Douglas P. Wiens, Julie Zhou, Julie Zhou, 1996 .

Jackknifing, weighting, diagnostics and variance estimation in generalized M-estimation

Douglas P. Wiens, D. Wiens, Zhiyi Du, 2000 .

A CLASS OF METHOD OF MOMENTS ESTIMATORS FOR THE TWO-PARAMETER GAMMA FAMILY

Norman C. Beaulieu, Julian Cheng, Douglas P. Wiens, 2003 .

Minimax designs for approximately linear regression

Douglas P. Wiens, D. Wiens, 1992 .

Designs for approximately linear regression: Maximizing the minimum coverage probability of confidence ellipsoids

Douglas P. Wiens, D. Wiens, 1993 .

Robust static designs for approximately specified nonlinear regression models

Douglas P. Wiens, Jamil Hasan Karami, D. Wiens, 2014 .

Robust M‐estimators of multivariate location and scatter in the presence of asymmetry

Douglas P. Wiens, Z. Zheng, 1986 .

Robust estimators and designs for field experiments

Douglas P. Wiens, Julie Zhou, Julie Zhou, 2008 .

Minimax Properties of $M-, R-$ and $L$-Estimators of Location in Levy Neighbourhoods

Douglas P. Wiens, John R. Collins, 1989 .

Robust regression designs for approximate polynomial models

Douglas P. Wiens, Zhide Fang, D. Wiens, 2003 .

Comparison of nonlinear height–diameter functions for major Alberta tree species

Douglas P. Wiens, Shongming Huang, D. Wiens, 1992 .

Robustness in spatial studies I: minimax prediction

Douglas P. Wiens, D. Wiens, 2005 .

Robustness of Design

Douglas P. Wiens, D. Wiens, 2015 .

Model-Robust Designs for Quantile Regression

Linglong Kong, Douglas P. Wiens, D. Wiens, 2014, 1403.1638.

Restricted minimax robust designs for misspecified regression models

Douglas P. Wiens, Byron Schmuland, Giseon Heo, 2001 .

Minimax designs for approximately linear models with AR(1) errors

Douglas P. Wiens, D. Wiens, Julie Zohu, 1999 .

Robust designs for approximately polynomial regression

Douglas P. Wiens, Shawn X Liu, Shawn X. Liu, 1997 .

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

Douglas P. Wiens, Yongge Tian, D. Wiens, 2006 .