Journal of Quality Technology - October 2017 - ASQ
Journal of Quality Technology - October 2017
Volume 49 ∙ Number 4
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Bias/Variance Trade-Off in Estimates of a Process Parameter Based on Temporal Data *Open Access*
By Cooper Barfoot, Stefan H. Steiner, and R. Jock Mackay
The authors recommend an approach to estimate a process performance measure (or parameter) at the present time from a stream of data where the performance may drift slowly over time.
- Testing for Lack of Fit in Blocked, Split-Plot, and Other Multi-Stratum Designs
By Peter Goos and Steven G. Gilmour
This paper provides analytical expressions for the test statistic and the corresponding degrees of freedom, and demonstrate how to perform the lack-of-fit test in the SAS procedure MIXED.
- Flexible Nested Latin Hypercube Designs for Computer Experiments
By Daijun Chen and Shifeng Xiong
The authors propose a random sampling procedure for constructing flexible NLHDs without the restriction of run size in each larger design being a multiple of that in a smaller one.
- Constructing Tolerance Intervals for the Number of Defectives Using Both High- and Low-Resolution Data
By Hsiuying Wang and Fugee Tsung
The authors study a simulation study that shows that the derived tolerance intervals can lead to better performance than a tolerance interval that is constructed based on only the low-resolution data.
- A General Approach for Monitoring Serially Dependent Categorical Processes
By Jian Li and Qiang Zhou
The authors adopt a multivariate categorical setting of the data and develop a general approach for monitoring serially dependent categorical processes, from binary to multinary, and from first-order dependency to higher-order dependency.
- Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart
By W. C. Yeong, Michael B. C. Khoo, L. K. Tham, W. L. Teoh, and M. A. Rahim
This paper proposes an EWMA chart with variable sampling interval (VSI) to monitor the coefficient of variation.
- Optimal Experimental Design for Efficient Optical Manipulation of Magnetic Beads Seeded in a Microwell Array
By D. Decrop, J. Lammertyn, and P. Goos
The authors investigate five factors that were believed to influence the fraction of magnetic beads that show Brownian motion within their microwell.