David C. Woods

发表

Bayesian lightweight emulators for multivariate computer models

Antony M. Overstall, David C. Woods, 2011 .

Designs for Generalized Linear Models With Several Variables and Model Uncertainty

David C. Woods, Susan M. Lewis, John A. Eccleston, 2006, Technometrics.

Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics

Antony M. Overstall, David C. Woods, Kieran J. Martin, 2016, Comput. Stat. Data Anal..

Model selection via Bayesian information capacity designs for generalised linear models

James M. McGree, David C. Woods, Susan M. Lewis, 2016, Comput. Stat. Data Anal..

Emulation of Multivariate Simulators Using Thin-Plate Splines with Application to Atmospheric Dispersion

David C. Woods, Veronica E. Bowman, D. Woods, 2015, SIAM/ASA J. Uncertain. Quantification.

Designed experiments for semi-parametric models and functional data with a case-study in Tribology

Christopher J. Marley, Susan M. Lewis, David Woods, 2013 .

Discussion of “Design augmentation for response optimization and model estimation”

David C. Woods, 2018 .

Minimax Efficient Random Experimental Design Strategies With Application to Model-Robust Design for Prediction

David C. Woods, Timothy W. Waite, D. Woods, 2020, Journal of the American Statistical Association.

Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model

Antony M. Overstall, David C. Woods, D. Woods, 2015, Journal of the Royal Statistical Society. Series C, Applied statistics.

Lidar monitoring of stratospheric aerosols at Hampton, Virginia

David C. Woods, M. T. Osborn, Patricia L. Lucker, 2003, SPIE Remote Sensing.

Using Bayes Linear Emulators to Analyse Networks of Simulators

David C. Woods, Samuel E. Jackson, D. Woods, 2019 .

An eLearning website for the design and analysis of experiments with application to chemical processes

Ilaria Liccardi, Jeremy G. Frey, David C. Woods, 2006 .

Screening Strategies in the Presence of Interactions

Angela M. Dean, Danel Draguljic, David C. Woods, 2014, Technometrics.

Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application

David C. Woods, Maria Adamou, Timothy W. Waite, 2016 .

Editorial for the special issue mODa12: Advances in Model-Oriented Design and Analysis

Radoslav Harman, Werner G. Müller, David C. Woods, 2019, Statistical Papers.

Bayesian Design of Experiments Using Approximate Coordinate Exchange

Antony M. Overstall, David C. Woods, D. Woods, 2017, Technometrics.

Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates

Ilya Shpitser, David C. Woods, Mia S.Tackney, 2020, 2005.13261.

Recent modifications and measurements with a ground-based lidar system

David C. Woods, David M. Winker, M. T. Osborn, 1993, Defense, Security, and Sensing.

Handbook of the design and analysis of experiments: designs for generalized linear models

Anthony C. Atkinson, David C. Woods, A. Atkinson, 2013 .

Twenty-six years of lidar monitoring of northern midlatitude stratospheric aerosols

David C. Woods, M. T. Osborn, D. Woods, 2001, SPIE Remote Sensing.

A comparison of design and model selection methods for supersaturated experiments

Christopher J. Marley, David C. Woods, D. Woods, 2010, Comput. Stat. Data Anal..

Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application

Antony M. Overstall, David C. Woods, Maria Adamou, 2016, 1606.05892.

Blocked Designs for Experiments With Correlated Non-Normal Response

Peter M. van de Ven, David C. Woods, P. Ven, 2011, Technometrics.

Long-term observations of the midlatitude stratospheric aerosol from the Mount Pinatubo eruption

David C. Woods, David M. Winker, M. T. Osborn, 1996, Defense, Security, and Sensing.

Weighted space-filling designs

David C. Woods, Veronica E. Bowman, D. Woods, 2013, J. Simulation.

Rejoinder

Angela M. Dean, David C. Woods, Susan M. Lewis, 2014, Technometrics.

Optimal designs for experiments for scalar-on-function linear models

Antony M. Overstall, David C. Woods, Maria Adamou, 2021 .

Design selection criteria for discrimination/estimation for nested models and a binomial response

Susan M. Lewis, John Eccleston, David C. Woods, 2008 .

Design of experiments for screening

Susan M. Lewis, David C. Woods, S. Lewis, 2015, 1510.05248.

Continuous Optimal Designs for Generalized Linear Models under Model Uncertainty

Susan M. Lewis, David C. Woods, S. Lewis, 2011 .

Optimal design for additive partially nonlinear models

Holger Dette, David C. Woods, Stefanie Biedermann, 2011 .

D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS

Susan M. Lewis, John Eccleston, Kenneth G. Russell, 2009 .

Block designs for experiments with non-normal response

David C. Woods, P. Ven, D. Woods, 2009 .

Multifactor B-Spline Mixed Models in Designed Experiments for the Engine Mapping Problem

Susan M. Lewis, David C. Woods, Daniel M. Grove, 2004 .

Optimal designs for generalized non‐linear models with application to second‐harmonic generation experiments

David C. Woods, Stefanie Biedermann, D. Woods, 2009 .

Designs for generalized linear models with random block effects via information matrix approximations

David C. Woods, Timothy W. Waite, D. Woods, 2014, 1412.4355.

Optimum design of experiments for statistical inference : discussion

Kalliopi Mylona, Dan Cornford, Byran J. Smucker, 2012 .

Designs for generalized linear models under model uncertainty

David C. Woods, 2005 .