David J. Edwards

发表

Structure of Nonregular Two-Level Designs

Robert W. Mee, David J. Edwards, 2021, Journal of the American Statistical Association.

Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2020, Technometrics.

Visualization and comparison of aircraft trajectories using Gaussian-Smoothed heatmaps

Kathryn Ballard, Sara R. Wilson, David J. Edwards, 2021, Quality Engineering.

A comparison of experimental designs for calibration

David J. Edwards, Christine M. McAnulty, David J. Edwards, 2020 .

Selecting a 𝒟-Optimal Follow-Up Experiment Among Candidate Choices

David J. Edwards, K. Kelly, 2014 .

Response surface experiments: A meta-analysis

David J. Edwards, Byran J. Smucker, Le Chang, 2017 .

Optimal Semifoldover Plans for Two-Level Orthogonal Designs

David J. Edwards, David J. Edwards, 2011, Technometrics.

A Criterion for Constructing Powerful Supersaturated Designs When Effect Directions Are Known

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2017 .

Follow-up experiments for two-level fractional factorial designs via double semifoldover

David J. Edwards, 2014 .

Mean Residual Life

David J. Edwards, Timothy M. Young, Frank M. Guess, 2011, International Encyclopedia of Statistical Science.

Empirically Determined p-Values for Lenth t-Statistics

Robert W. Mee, David J. Edwards, 2008 .

Stop Treating Supersaturated Designs like Other Screening Designs

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2019 .

Strategies for Supersaturated Screening: Group Orthogonal and V ar(s+) Designs

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2020 .

Comparison of Two Wood Plastic Composite Extruders Using Bootstrap Confidence Intervals on Measurements of Sample Failure Data

David J. Edwards, Timothy M. Young, Ramón V. León, 2012 .

A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experiments

David J. Edwards, E. Boone, Naha Farhat, 2019, Journal of applied statistics.

Space-Filling Designs for Multi-Layered Continuous Nested Factors

Kurt A. Swieringa, Sara R. Wilson, Ryan W. Gryder, 2016 .

Comparing methods for design follow-up: revisiting a metal-cutting case study

Maria L. Weese, David J. Edwards, Gregory Palmer, 2014 .

Inference for under-dispersed data: Assessing the performance of an airborne spacing algorithm

Kurt A. Swieringa, Sara R. Wilson, David J. Edwards, 2018, Quality engineering.

Follow-up experiments for two-level fractional factorial designs via double semifoldover

David J. Edwards, 2013, Metrika.

Searching for Powerful Supersaturated Designs

David J. Edwards, Byran J. Smucker, Maria L. Weese, 2015 .

Space-filling designs for multi-layer nested factors

David J. Edwards, Kurt A. Swieringa, Sara R. Wilson, 2018, Quality Engineering.

Monotonic Nonparametric Dose Response Model

David J. Edwards, E. Boone, Faten S. Alamri, 2019, 1910.00150.

Design and Analysis of Screening Experiments Assuming Effect Sparsity

David J. Edwards, David J. Edwards, 2008 .

Bayesian D-optimal screening experiments with partial replication

David J. Edwards, Robert D. Leonard, David J. Edwards, 2017, Comput. Stat. Data Anal..

Fractional Box–Behnken Designs for One-Step Response Surface Methodology

David J. Edwards, Robert W. Mee, David J. Edwards, 2011 .

Compromise ascent directions for multiple‐response applications

David J. Edwards, Jeffrey N. Fuerte, David J. Edwards, 2011, Qual. Reliab. Eng. Int..

Response surface models: To reduce or not to reduce?

David J. Edwards, Byran J. Smucker, Maria L. Weese, 2020 .

Statistical engineering approach to improve the realism of computer-simulated experiments with aircraft trajectory clustering

David J. Edwards, Kurt A. Swieringa, Sara R. Wilson, 2017 .

Robustly Estimating Lower Percentiles When Observations Are Costly

David J. Edwards, Timothy M. Young, Ramón V. León, 2015 .

Improving estimates of critical lower percentiles by induced censoring

David J. Edwards, Timothy M. Young, Ramón V. León, 2014, Reliab. Eng. Syst. Saf..

Optimal Supersaturated Designs for Lasso Sign Recovery

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2023, 2303.16843.

Selecting an Orthogonal or Nonorthogonal Two-Level Design for Screening

David J. Edwards, Eric D. Schoen, Robert W. Mee, 2017, Technometrics.

A Bayesian Monotonic Non-parametric Dose-Response Model

David J. Edwards, E. Boone, Faten S. Alamri, 2021, Human and Ecological Risk Assessment: An International Journal.

Supersaturated designs: Are our results significant?

David J. Edwards, Robert W. Mee, David J. Edwards, 2011, Comput. Stat. Data Anal..

Response surface models: To reduce or not to reduce?

Byran J. Smucker, Maria L. Weese, David J. Edwards, 2020, Journal of Quality Technology.

A comparison of designs for one‐step screening and response surface estimation

David J. Edwards, David H. Q. Truong, David J. Edwards, 2011, Qual. Reliab. Eng. Int..