Results 11 to 20 of about 940,185 (248)

Unit Interval Time and Magnitude Monitoring Using Beta and Unit Gamma Distributions

open access: yesJournal of Mathematics, 2022
Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim of this study is to monitor the time and magnitude processes based on unit-interval data.
Muhammad Farhan Akram   +3 more
doaj   +1 more source

Dual CUSUM Charts for Monitoring Autocorrelated AR (1) Processes Mean With s-Skipping Sampling Scheme

open access: yesIEEE Access, 2022
In statistical process monitoring, it is often assumed that the sequential observations generated by processes are independent and identically distributed (iid).
Yi Li, Tahir Munir, Xuelong Hu
doaj   +1 more source

Evaluating shoreline identification using optical satellite images [PDF]

open access: yes, 2015
A technique to extract the shoreline location from optical satellite images has been developed and evaluated for the case study site of Progreso, Yucatán, México.
García-Rubio, G, Huntley, D, Russell, P
core   +2 more sources

A STUDY OF THE MEDIAN RUN LENGTH (MRL) PERFORMANCE OF THE EWMA t CHART FOR THE MEAN

open access: yesSouth African Journal of Industrial Engineering, 2012
The exponentially weighted moving average (EWMA) chart is effective in detecting small shifts. However, the EWMA chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation.
Chin, W. S., Khoo, M. B. C.
doaj   +1 more source

Enhanced cumulative sum charts for monitoring process dispersion. [PDF]

open access: yesPLoS ONE, 2015
The cumulative sum (CUSUM) control chart is widely used in industry for the detection of small and moderate shifts in process location and dispersion. For efficient monitoring of process variability, we present several CUSUM control charts for monitoring
Mu'azu Ramat Abujiya   +2 more
doaj   +1 more source

Nonparametric Double EWMA Control Chart for Process Monitoring

open access: yesRevista Colombiana de Estadística, 2016
In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical situations, we may not know the distributional behavior of the data, and hence, the need arises use ...
MUHAMMAD RIAZ, SADDAM AKBER ABBASI
doaj   +1 more source

New modified exponentially weighted moving average-moving average control chart for process monitoring

open access: yesConnection Science, 2022
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 chart for observing ...
Khanittha Talordphop   +2 more
doaj   +1 more source

Asymmetric Control Limits for Weighted-Variance Mean Control Chart with Different Scale Estimators under Weibull Distributed Process

open access: yesMathematics, 2022
Shewhart charts are the most commonly utilised control charts for process monitoring in industries with the assumption that the underlying distribution of the quality characteristic is normal. However, this assumption may not always hold true in practice.
Jing Jia Zhou   +4 more
doaj   +1 more source

Astronomical verification of a stabilized frequency reference transfer system for the Square Kilometre Array [PDF]

open access: yes, 2017
In order to meet its cutting-edge scientific objectives, the Square Kilometre Array (SKA) telescope requires high-precision frequency references to be distributed to each of its antennas. The frequency references are distributed via fiber-optic links and
Dodson, Richard   +9 more
core   +2 more sources

Adaptive EWMA control chart for monitoring the coefficient of variation under ranked set sampling schemes

open access: yesScientific Reports, 2023
In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of Variation (AEWMCV) control chart, designed to address situations where the process mean fluctuates over time and the standard deviation of the process changes ...
Afshan Riaz   +5 more
doaj   +1 more source

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