Razmy, A.M. (2005) Joint Monitoring of Process Mean and Variance. MSc Thesis, Department of Statistics and Applied Probability, National University of Singapore, Singapore.

has been cited by the following article:

• TITLE: Effect of Sample Size on the Control Limits of Exponentially Weighted Moving Average Distance Square Scheme

  AUTHORS: Athambawa Mohamed Razmy

  KEYWORDS: Average Run Length, Control Limit, Exponential Weighted Moving Average, Joint Monitoring

  JOURNAL NAME: Open Access Library Journal, Vol.3 No.6, June 21, 2016

  ABSTRACT: In the series of quality monitoring schemes with exponentially weighted moving average, the exponentially weighted moving average distance square scheme was introduced for joint monitoring of process mean and variance. This scheme claims that it has a special feature that the control limits of the scheme are independent of sample size and therefore it gives more freedom to the users. However, this claim was not studied in detail. In this study, the control limits were found for this scheme through simulations, for different sample sizes with different combination of other scheme parameters. This study concludes that the control limits for designing this scheme are independent of sample size.