Results 181 to 188 of about 4,823 (188)

Fuzzy EWMA and Fuzzy CUSUM Control Charts

2016
Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data.
Erginel, Nihal, Şentürk, Sevil
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Linking EWMA p Charts and the Risk Adjustment Control Charts

Quality and Reliability Engineering International, 2016
This paper develops an adaptive exponentially weighted moving average (EWMA) chart that can be used as either a p chart for monitoring significant departures from in‐control non‐homogenous probabilities of failure or success or a risk‐adjusted control chart for success or failure of an event.
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On EWMA Charts for Time Series

1997
Several authors have studied the effect of autocorrelation on the average run length of the Shewhart, EWMA and CUSUM chart, if the underlying observations are autocorrelated (e. g. Johnson and Bagshaw [12], Bagshaw and Johnson [3], Harris and Ross [11], Maragah and Woodall [14], Alwan [2]). As it has turned out, autocorrelation has a profound impact on
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A Multivariate Poisson Adaptive EWMA Control Chart

Quality and Reliability Engineering International
ABSTRACTThe Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is a highly recommended chart in the literature to monitor processes with the aim of detecting small and moderate process shifts. The MEWMA chart is designed to detect a predetermined shift size but not a range of different shift sizes simultaneously.
Aya A. Aly, Nesma A. Saleh, Mahmoud A. Mahmoud   +2 more
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A Johnson's Type Transformation EWMA-S2 Control Chart

2010
This article demonstrates how a four parameters (bounded) Johnson SB transformation combined with an EWMA approach can be used to monitor the sample variance of a process. The resulting chart will be called an EWMA-J-S2 chart. In this article, the computation of both the control limits and the parameters of the Johnson SB transformation of the EWMA-J ...
CASTAGLIOLA P, CELANO, GIOVANNI, FICHERA, Sergio   +2 more
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EWMA Control Charts Using Attributes Data

The Statistician, 1993
Anothai Trevanich, Patrick Bourke
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- Univariate EWMA Charts

2013
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Residual EWMA Control Chart Based on Transformer

Advances in Applied Mathematics
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