‎in this work we introduce and study discrete time periodically correlated stable‎ ‎processes and multivariate stationary stable processes related to periodic and cyclic‎ ‎flows‎. ‎our study involves producing a spectral representation and a‎ ‎spectral identification for such processes‎. ‎we show that the third‎ ‎component of a periodically correlated stable process has a component related to a...

In some statistical process control applications, the combination of both variable and attribute quality characteristics which are correlated represents the quality of the product or the process. In such processes, identification the time of manifesting the out-of-control states can help the quality engineers to eliminate the assignable causes through proper corrective actions. In this paper, f...

Process-Oriented Basis Representation (POBREP) is an effective method of multivariate statistical process control that is seldom used in manufacturing. Rather than monitoring individual process variables, POBREP seeks to identify specific causes of production problems and map those into a basis matrix. These patterns can then be monitored with single-variable SPC techniques or traditional multi...

Abstract Profile monitoring in statistical quality control has attracted attention of many researchers recently. A profile is a function between response variables and one or more independent variables. There have been only a limited number of researches on monitoring multivariate profiles. Indeed, monitoring correlated multivariate profiles is a new subject in the fileld of statistical proces...

Research suggests that testimonials, or first-person narratives, influence health behavior and health-related decision making, but few studies have examined conceptual factors that may be responsible for these effects. In the current study, older adults who were due for colorectal cancer screening read a message about screening that included a testimonial from a similar other who had previously...

Multivariate analysis (MVA) refers to an assortment of statistical tools developed handle situations in which more than one variable is involved. MVA indispensable for data interpretation and extraction meaningful data, especially from fast acquisition instruments spectral imaging techniques. This article reviews trends the application pharmaceutical manufacturing control. The models most commo...