Journal of Quality Technology - April 2015 - ASQ
Journal of Quality Technology - October 2015
Volume 47 ∙ Number 4
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Optimal Design of Blocked Experiments in the Presence of Supplementary Information About the Blocks
By Bradley Jones and Peter Goos
The authors provide two methods for generating optimal designs in the presence of additional information about the experimental units.
Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data *Open Access*
By Bart De Ketelaere, Mia Hubert, and Eric Schmitt
The authors present a comprehensive review of the literature for the practitioner encountering high-dimensional and time-dependent data.
Bayesian Life Test Planning for Log-Location-Scale Family of Distributions
By Yili Hong, Caleb King, Yao Zhang, and William Q. Meeker
The authors describe Bayesian methods for life test planning with censored data from a log-location-scale distribution when prior information of the distribution parameters is available.
Response Surface Methodology Using Split-Plot Definitive Screening Designs
By Chang-Yun Lin and Po Yang
The authors investigate the performance of definitive screening designs in split-plot structures for one-step response surface methodology.
Another Look at the EWMA Control Chart with Estimated Parameters
By Nesma A. Saleh, Mahmoud A. Mahmoud, L. Allison Jones-Farmer, Inez Zwetsloot, and William H. Woodall
The authors assess the in-control performance of the exponentially weighted moving average (EWMA) control chart in terms of the SDARL and percentiles of the ARL distribution when the process parameters are estimated.
The Monitoring and Improvement of Surgical-Outcome Quality
By William H. Woodall, Sandy L. Fogel, MD, and Stefan H. Steiner
The authors review methods for monitoring medical outcomes with a focus on surgical quality.
Statistical Methods for Combining Information: Stryker Family of Vehicles Reliability Case Study
By Rebecca M. Dickinson, Laura J. Freeman, Bruce A Simpson, and Alyson G. Wilson
The authors show that, when we combine the available information across two test phases for the Stryker family of vehicles, reliability estimates are more accurate and precise than those reported previously using traditional methods that use only operational test data in their reliability assessments.
By Willis A. Jensen
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