meteorological stations usually contain some missing data for different reasons.there are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. in this paper a blended model comprising the bivariate expo...

The univariate mean process monitoring is only used the information from study variable. One of control chart that to monitor GWMA chart. But, in this research, we need using variable and on adding or auxiliary enhanced research named AIB-GWMA In also made a comparison between know sensitivity effectiveness these effect monitoring. performance evaluated Average Run Length with help Monte Carlo ...

Abstract Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking measurement production process. While fuzzy approach helps to tackle ambiguity that arises measurement, an interval type-2 set deals such uncertainty better due its flexibility over control limits chart. This paper aims develop Interval Type-2 Exponentially Weig...

We argue against the use of generally weighted moving average (GWMA) control charts. Our primary reasons are following: (1) There is no recursive formula for GWMA chart statistic, so all previous data must be stored and used in calculation each statistic. (2) The Markovian property does not apply to statistics, computer simulation determine limits statistical performance. (3) An appropriately d...