| A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods | 0 | 0.34 | 2022 |
| Aliased Informed Model Selection Strategies For Six-Factor No-Confounding Designs | 0 | 0.34 | 2021 |
| A Compound Optimality Criterion Ford-Efficient And Separation-Robust Designs For The Logistic Regression Model | 0 | 0.34 | 2021 |
| Separation in D-optimal experimental designs for the logistic regression model. | 0 | 0.34 | 2019 |
| Percentile-based control chart design with an application to Shewhart X̅ and S2 control charts. | 0 | 0.34 | 2019 |
| Selecting a near-optimal design for multiple criteria with improved robustness to different user priorities | 0 | 0.34 | 2019 |
| Measuring performance. | 0 | 0.34 | 2018 |
| Examining potential reductions in wind tunnel testing requirements. | 0 | 0.34 | 2018 |
| Change Is Good ...but ... | 0 | 0.34 | 2017 |
| Lean six-sigma in higher education. | 0 | 0.34 | 2017 |
| No-confounding designs with 20 runs - Alternatives to resolution IV screening designs. | 0 | 0.34 | 2017 |
| Why Do Lean Six Sigma Projects Sometimes Fail? | 1 | 0.35 | 2016 |
| Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency. | 0 | 0.34 | 2016 |
| Bridge Designs for Modeling Systems With Low Noise | 1 | 0.37 | 2015 |
| Active shape models with optimised texture features for radiotherapy | 1 | 0.36 | 2014 |
| Big Data and the Quality Profession. | 3 | 0.39 | 2014 |
| A one-sided MEWMA control chart for Poisson-distributed data | 1 | 0.39 | 2014 |
| Lean Six Sigma and Promoting Innovation. | 0 | 0.34 | 2014 |
| Adaptive overhead reduction via MEWMA control charts | 0 | 0.34 | 2011 |
| Important research themes from volume 26 2010 | 0 | 0.34 | 2011 |
| A generalized linear model approach to designing accelerated life test experiments | 5 | 0.62 | 2011 |
| Analysis of signal-response systems using generalized linear mixed models | 2 | 0.36 | 2010 |
| The 25th anniversary volume of Quality and Reliability Engineering International | 0 | 0.34 | 2010 |
| Designing experiments for nonlinear models - an introduction | 2 | 0.48 | 2010 |
| Trouble at Toyota | 0 | 0.34 | 2010 |
| A statistical Markov chain approximation of transient hospital inpatient inventory | 5 | 0.80 | 2010 |
| Generating experimental designs involving control and noise variables using genetic algorithms | 8 | 0.97 | 2009 |
| Design strategies for response surface models for the study of supersonic combustion | 3 | 0.55 | 2009 |
| Estimation of missing observations in two-level split-plot designs | 1 | 0.87 | 2008 |
| The Future of Industrial Statistics: A Panel Discussion. | 6 | 1.32 | 2008 |
| Does six sigma stifle innovation? | 1 | 0.38 | 2008 |
| A Retrospective on Volume 23 of Quality and Reliability Engineering International | 0 | 0.34 | 2008 |
| Comparing designs for computer simulation experiments | 4 | 0.71 | 2008 |
| Applications of design of experiments in engineering | 3 | 0.56 | 2008 |
| SPC research—Current trends | 5 | 0.61 | 2007 |
| Strengthening Six Sigma | 0 | 0.34 | 2007 |
| A partition experimental design for a sequential process with a large number of variables | 0 | 0.34 | 2007 |
| Logistic Regression Analysis of Customer Satisfaction Data | 4 | 1.62 | 2006 |
| Carol J. Feltz and David Newton | 0 | 0.34 | 2006 |
| Designed experiments in process improvement | 1 | 0.40 | 2006 |
| Analyzing and Improving Measurement Systems: A Key to Effective Decision-making | 0 | 0.34 | 2006 |
| Optimizing protocol interaction using response surface methodology | 22 | 1.38 | 2006 |
| Cost‐constrained G‐efficient Response Surface Designs for Cuboidal Regions | 4 | 0.81 | 2006 |
| Software performance testing using covering arrays: efficient screening designs with categorical factors | 12 | 0.60 | 2005 |
| Resampling methods for variable selection in robust regression | 5 | 0.90 | 2003 |
| Behavioral characterization: finding and using the influential factors in software process simulation models | 6 | 0.47 | 2001 |
| Factor screening methods in computer simulation experiments | 0 | 0.34 | 1979 |
