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Bayesian probability of predictive agreement for comparing the outcome of two separate regressions

Quality and reliability engineering international, 2018-10, Vol.34 (6), p.968-978

2018

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Is designed data collection still relevant in the big data era?

Quality and reliability engineering international, 2023-06, Vol.39 (4), p.1085-1101

2023

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Strategies for sequential design of experiments and augmentation

Quality and reliability engineering international, 2021-07, Vol.37 (5), p.1740-1757

2021

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Rejoinder for “Is Designed Data Collection Still Relevant in the Big Data Era?”

Quality and reliability engineering international, 2023-06, Vol.39 (4), p.1117-1119

2023

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Input‐response space‐filling designs

Quality and reliability engineering international, 2021-12, Vol.37 (8), p.3529-3551

2021

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Assessing robustness of factor ranking for supersaturated designs

Quality and reliability engineering international, 2018-04, Vol.34 (3), p.417-426

2018

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Input‐response space‐filling designs incorporating response uncertainty

Statistical analysis and data mining, 2024-02, Vol.17 (1), p.n/a

2024

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The influence of random packed column parameters on the liquid holdup and interfacial area

AIChE journal, 2022-08, Vol.68 (8), p.n/a

2022

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I-optimal or G-optimal: Do we have to choose?

Quality engineering, 2024-04, Vol.36 (2), p.227-248

2024

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Practical choices for space‐filling designs

Quality and reliability engineering international, 2022-04, Vol.38 (3), p.1165-1188

2022

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Exploratory vs solution-seeking big data: Discussion for "Experiences with big data: Accounts from a data scientist's perspective"

Quality engineering, 2020-10, Vol.32 (4), p.550-552

M. Anderson-Cook, Christine

2020

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Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture-Process Experiments

Quality and reliability engineering international, 2015-12, Vol.31 (8), p.1483-1494

2015

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Understanding the merits of winning data competition solutions for varied sets of objectives

Statistical analysis and data mining, 2021-12, Vol.14 (6), p.556-574

2021

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Graphics to facilitate informative discussion and team decision making

Applied stochastic models in business and industry, 2018-11, Vol.34 (6), p.963-980

2018

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Publishing an applied statistics paper: Guidance and advice from editors

Quality and reliability engineering international, 2024-06, Vol.40 (4), p.1918-1934

2024

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Discussion of “Is reliability a new science?”

Applied stochastic models in business and industry, 2019-03, Vol.35 (2), p.270-271

Anderson‐Cook, Christine M.

2019

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Optimal designs for dual response systems for the normal and binomial case

Quality and reliability engineering international, 2021-11, Vol.37 (7), p.3034-3054

2021

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Adapting the Hypervolume Quality Indicator to Quantify Trade-offs and Search Efficiency for Multiple Criteria Decision Making Using Pareto Fronts

Quality and reliability engineering international, 2013-12, Vol.29 (8), p.1117-1133

2013

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Multiple Response Optimization for Higher Dimensions in Factors and Responses

Quality and reliability engineering international, 2017-06, Vol.33 (4), p.727-744

2017

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Using Genetic Algorithms to Design Experiments: A Review

Quality and reliability engineering international, 2015-03, Vol.31 (2), p.155-167

2015

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Uncertainty analysis of trade‐offs between multiple responses using hypervolume

Quality and reliability engineering international, 2017-12, Vol.33 (8), p.2343-2360

2017

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Balancing Multiple Criteria Incorporating Cost using Pareto Front Optimization for Split-Plot Designed Experiments

Quality and reliability engineering international, 2014-02, Vol.30 (1), p.37-55

2014

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APT malware static trace analysis through bigrams and graph edit distance

Statistical analysis and data mining, 2017-06, Vol.10 (3), p.182-193

2017

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Bayesian design of experiments for logistic regression to evaluate multiple nuclear forensic algorithms

Applied stochastic models in business and industry, 2018-11, Vol.34 (6), p.908-921

2018

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Influence Plots for LASSO

Quality and reliability engineering international, 2017-11, Vol.33 (7), p.1317-1326

2017

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Bayesian probability of predictive agreement for comparing the outcome of two separate regressions

Is designed data collection still relevant in the big data era?

Strategies for sequential design of experiments and augmentation

Rejoinder for “Is Designed Data Collection Still Relevant in the Big Data Era?”

Input‐response space‐filling designs

Assessing robustness of factor ranking for supersaturated designs

Input‐response space‐filling designs incorporating response uncertainty

The influence of random packed column parameters on the liquid holdup and interfacial area

I-optimal or G-optimal: Do we have to choose?

Practical choices for space‐filling designs

Exploratory vs solution-seeking big data: Discussion for "Experiences with big data: Accounts from a data scientist's perspective"

Visualization Approaches for Evaluating Ridge Regression Estimators in Mixture and Mixture-Process Experiments

Understanding the merits of winning data competition solutions for varied sets of objectives

Graphics to facilitate informative discussion and team decision making

Publishing an applied statistics paper: Guidance and advice from editors

Discussion of “Is reliability a new science?”

Optimal designs for dual response systems for the normal and binomial case

Adapting the Hypervolume Quality Indicator to Quantify Trade-offs and Search Efficiency for Multiple Criteria Decision Making Using Pareto Fronts

Multiple Response Optimization for Higher Dimensions in Factors and Responses

Using Genetic Algorithms to Design Experiments: A Review

Uncertainty analysis of trade‐offs between multiple responses using hypervolume

Balancing Multiple Criteria Incorporating Cost using Pareto Front Optimization for Split-Plot Designed Experiments

APT malware static trace analysis through bigrams and graph edit distance

Bayesian design of experiments for logistic regression to evaluate multiple nuclear forensic algorithms

Influence Plots for LASSO

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