Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters
نویسندگان
چکیده
Distribution-free or nonparametric control charts are used for monitoring the process parameters when there is a lack of knowledge about underlying distribution. In this paper, we investigate single distribution-free triple exponentially weighted moving average chart based on Lepage statistic (referred as TL chart) simultaneously shifts in unknown location and scale univariate continuous The design implementation proposed discussed using time-varying steady-state limits zero-state case. run-length distribution evaluated by performing Monte Carlo simulations. performance compared to those existing EWMA-Lepage (EL) DEWMA-Lepage (DL) charts. It observed that with limit superior its competitors, especially small moderate parameters. We also provide real example from manufacturing illustrate application chart.
منابع مشابه
Distribution-free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale
Mukherjee and Chakraborti 1 proposed a single distribution-free (nonparametric) Shewhart-type chart based on the Lepage 2 statistic for simultaneously monitoring both the location and the scale parameters of a continuous distribution when both of these parameters are unknown. In the present work, we consider a single distribution-free CUSUM chart, based on the Lepage 2 statistic, referred to as...
متن کاملA Distribution-free Control Chart for the Joint Monitoring of Location and Scale
Traditional statistical process control for variable data often involves the use of a separate mean and a standard deviation chart. Several proposals have been published recently, where a single (combination) chart that is simpler and may have performance advantages, is used. The assumption of normality is crucial for the validity of these charts. In this article, a single distribution-free She...
متن کاملA New Distribution-free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions
While the assumption of normality is required for the validity ofmost of the available control charts for jointmonitoring of unknown location and scale parameters, we propose and study a distribution-free Shewhart-type chart based on the Cucconi statistic, called the Shewhart-Cucconi (SC) chart. We also propose a follow-up diagnostic procedure useful to determine the type of shift the process m...
متن کاملCS-EWMA Chart for Monitoring Process Dispersion
Control charts are themost extensively used technique to detect the presence of special cause variations in processes. They can be classified intomemory andmemoryless control charts. Cumulative sum and exponentially weightedmoving average control charts are memory-type control charts as their control structures are developed in such a way that the past information is not ignored as it is done i...
متن کاملRobust economic-statistical design of the EWMA-R control charts for phase II linear profile monitoring
Control charts are powerful tools to monitor quality characteristics of services or production processes. However, in some processes, the performance of process or product cannot be controlled by monitoring a characteristic; instead, they require to be controlled by a function that usually refers as a profile. This study suggests employing exponentially weighted moving average (EWMA) and range ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 2023
ISSN: ['1360-0532', '0266-4763']
DOI: https://doi.org/10.1080/02664763.2023.2189771