Journal of Quality Technology - January 2016 - ASQ
Journal of Quality Technology - January 2016
Volume 48 ∙ Number 1
Download Full Issue
Call for Papers
Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective *Open Access*
By Maria Weese, Waldyn Martinez, Fadel M. Megahed, and L. Allison Jones-Farmer
The authors focus on some of the monitoring and surveillance methodology informed by data mining techniques that show promise for monitoring large and diverse data sets.
Monitoring Temporal Homogeneity in Attributed Network Streams
By Bahareh Azarnoush, Kamran Paynabar, Jennifer Bekki, and George Runger
The authors propose an extension of statistical monitoring to network streams, which is crucial for effective decision-making in various applications.
A Study of Two Types of Split-Plot Designs
By Pi-Wen Tsai
The author discusses two types of split-plot designs, split-plot designs with few whole-plot factors and blocked split-plot designs.
The Statistical Evaluation of a Binary Test Based on Combined Samples
By Tashi P. Erdmann, Thomas S. Akkerhuis, Jeroen de Mast, and Stefan H. Steiner
The authors propose an approach for the common situation where the true condition of the inspected items is unobservable (“gold-standard unavailable”), the probabilities of false acceptance and false rejection vary across items, and rejections are relatively rare.
A Gradient Approach to the Optimal Design of CUSUM Charts Under Unknown Mean-Shift Sizes
By Wenpo Huang, Lianjie Shu, and Wei Jiang
The authors propose a method is shown to be more accurate and efficient than Monte Carlo simulations.
© American Society for Quality. All rights reserved.