Consider the concentration data in Exercise 10.20. Construct a EWMA chart on the residuals from the model you fit in part (c) of that exercise.
Answer to relevant QuestionsSet up a moving center line EWMA control chart for the concentration data in Exercise 10.20. Compare it to the residuals control chart in Exercise 10.20, part (c). To find the optimal , fit an ARIMA (0,1,1) (= EWMA = ...(a) Discuss the use of the moving range method to estimate the process standard deviation when the data are positively autocorrleated. (b) Discuss the use of the sample variance s2 with positively autocorrelated data. ...A sample of five units of product is taken from a production process every hour. The results in Table 10E.12 are obtained. Assume that the specifications on this quality characteristic are at 1.0015 and 1.0035. Set up the R ...Suppose that we have p= 4 quality characteristics, and in correlation form all four variables have variance unity and all pairwise correlation coefficients are 0.7. The in-control value of the process mean vector is u’ = ...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 ...
Post your question