The effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme with estimated parameters
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1850728
Abstract: ABSTRACT Classical monitoring schemes are typically designed under the assumption of known process parameters, perfect measurements and normality. In real-life applications, these assumptions are often violated. Thus, their Phase II performances are negatively affected by… read more here.
Keywords: effect measurement; measurement errors; performance homogenously; weighted moving ... See more keywords
A one-sided exponentially weighted moving average control chart for time between events
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1967894
Abstract: Exponentially weighted moving average (EWMA) control charts for time-between-events (TBE) are commonly suggested to monitor high-quality processes for the early detection of process deteriorations.... read more here.
Keywords: control; moving average; time events; exponentially weighted ... See more keywords
New modified exponentially weighted moving average-moving average control chart for process monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2090513
Abstract: The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control… read more here.
Keywords: modified exponentially; control; moving average; exponentially weighted ... See more keywords
Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable
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DOI: 10.1109/access.2019.2926533
Abstract: In this paper, we propose an efficient control chart for monitoring small shifts in a process mean for scenarios where the process variable is observed with a correlated auxiliary variable. The proposed chart, called an… read more here.
Keywords: weighted moving; moving average; chart; process ... See more keywords
Univariate and Multivariate Linear Profiles Using Max-Type Extended Exponentially Weighted Moving Average Schemes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3142245
Abstract: Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.… read more here.
Keywords: linear profiles; univariate multivariate; moving average; weighted moving ... See more keywords
Enhanced nonparametric control charts under simple and ranked set sampling schemes
Sign Up to like & getrecommendations! Published in 2020 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331220931977
Abstract: Investigation and removal of unnatural variation in the processes of manufacturing, production and services require application of statistical process control. Control charts are the most famous and commonly used statistical process control tools to trace… read more here.
Keywords: control charts; control; moving average; process ... See more keywords
The Exponentially Weighted Moving Average Procedure for Detecting Changes in Intensive Longitudinal Data in Psychological Research in Real-Time: A Tutorial Showcasing Potential Applications.
Sign Up to like & getrecommendations! Published in 2022 at "Assessment"
DOI: 10.1177/10731911221086985
Abstract: Affect, behavior, and severity of psychopathological symptoms do not remain static throughout the life of an individual, but rather they change over time. Since the rise of the smartphone, longitudinal data can be obtained at… read more here.
Keywords: longitudinal data; time; procedure; real time ... See more keywords