i want to simulate ,  the in-control performance of the Phase I T2 chart is evaluated when the missing values are estimated by each of the four handling methods; MS=mean substitution , EM=the EM algorithm , RG =regression imputation and SRG=stochastic regression imputation . We consider  the historical sample m (m=20), of size n=1, one value for the percent of missing value k% (k% = 1%,), one value for the number of quality characteristics p (2, ) and one value for the correlation coefficient r(r = 0, ,).   The value of h= ucl  that produces an overall  probability of a false alarm a = 0.05, when full data is assumed, was computed using 20,000 simulation runs. Table I presents these values of h according to the number of variables p and the number of samples m. Notice that these control limits do not depend on the variance–covariance structure since they are calculated based on full data sets.     i do this code but i don't complete it , there are some errors , i want to know ,how to solve theses errors ?       so i do not know how i solve it .  i want to simulate ,  the in-control performance of the Phase I T2 chart is evaluated when the missing values are estimated by each of the four handling methods; MSS, EM, RG and SRG. We consider  the historical sample m (m=20), of size n=1, five values for the percent of missing value k% (k% = 1%,), three values for the number of quality characteristics p (2, 3 and 5) and four values for the correlation coefficient r(r = 0, ,). Similar conclusions from other simulations (not shown here) are obtained when different values of p and r are considered. The value of h that produces an overall probability of a false alarm a = 0.05, when full data is assumed, was computed using 20,000 simulation runs. Table I presents these values of h according to the number of variables p and the number of samples m. Notice that these control limits do not depend on the variance–covariance structure since they are calculated based on full data sets.     i do this code but i don't complete it , there are some errors  so i do not know how i solve it .  ... View more

i want to simulate ,  the in-control performance of the Phase I T2 chart is evaluated when the missing values are estimated by each of the four handling methods; MSS, EM, RG and SRG. We consider  the historical sample m (m=20), of size n=1, five values for the percent of missing value k% (k% = 1%,), three values for the number of quality characteristics p (2, 3 and 5) and four values for the correlation coefficient r(r = 0, ,). Similar conclusions from other simulations (not shown here) are obtained when different values of p and r are considered. The value of h that produces an overall probability of a false alarm a = 0.05, when full data is assumed, was computed using 20,000 simulation runs. Table I presents these values of h according to the number of variables p and the number of samples m. Notice that these control limits do not depend on the variance–covariance structure since they are calculated based on full data sets.     i do this code but i don't complete it , there are some errors  so i do not know how i solve it .  ... View more

i do it but i get error  ... View more

this code in case of the uni-variate data  but i need the code  in the case of multivariate  data    ... View more

i need to know how  can  simulate multivariate control charts with SAS v 9.00    ... View more

i need to know how  can  simulate multivariate control charts with SAS v 9.00    ... View more

I do this code and find this error , i use SAS V9.0   ... View more

Are there differences between  simulating multivariate data and simulating multivariate control charts ? ... View more

tanks a lot  for your a devices and recommendations   ... View more