Consider the first three process variables in Table 11.5. Calculate an estimate of the sample covariance matrix using both estimators S1 and S2 discussed in Section 11.3.2.
Answer to relevant QuestionsConsider all 30 observations on the first two process variables in Table 11.6. Calculate an estimate of the sample covariance matrix using both estimators S1 and S2 discussed in Section 11.3.2. Are the estimates very ...Consider the cascade process data in Table 11.5. In fitting regression models to both y1 and y2 you will find that not all of the process variables are required to obtain a satisfactory regression model for the output ...Consider a T2 control chart for monitoring p = 6 quality characteristics. Suppose that the subgroup size is n= 3 and there are 30 preliminary samples available to estimate the sample covariance matrix. m = 30 preliminary ...Consider the data in Table 12.1. Construct a bounded adjustment chart using λ = 0.4 and L = 10. Compare the performance of this chart to the one in Table 12.1 and Fig. 12.12. R.D. Snee (“Experimenting with a Large Number of Variables,” in Experiments in Industry: Design, Analysis and Interpretation of Results, by R.D. Snee, LB. Hare, and J.B. Trout, eds., ASQC, 1985) describes an experiment ...
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