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A new procedure for monitoring the range and standard deviation of a quality characteristic
Kiani, M.; Panaretos, J.; Psarakis, S. - In: Quality & Quantity: International Journal of Methodology 44 (2010) 1, pp. 1-24
Persistent link: https://www.econbiz.de/10009396301
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Effect of Estimation of the Process Parameters on the Control Limits of the Univariate Control Charts for Process Dispersion
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2002
Control charts are extensively used in many real world applications. Since process parameters are rarely known, common practice is to estimate them. Then, the control limits are modified and become actually random variables. In this paper, we deal with the univariate control charts for...
Persistent link: https://www.econbiz.de/10005836234
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Control Charts for the Lognormal Distribution
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 1999
particular, we present the Shewhart Control Charts developed up to now, under such distributional assumptions and a new Control …
Persistent link: https://www.econbiz.de/10005621246
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A New Procedure to Monitor the Mean of a Quality Characteristic
Kiani, Mehdi; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2008
The Shewhart, Bonferroni-adjustment and analysis of means (ANOM) control chart are typically applied to monitor the … mean of a quality characteristic. The Shewhart and Bonferroni procedure are utilized to recognize special causes in … least as effective as the classical Shewhart methods and have some advantages. …
Persistent link: https://www.econbiz.de/10005837132
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Effect of Estimation on the Univariate Control Charts for Process Dispersion
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2001
Control charts are extensively used in many real world applications. Since process parameters are rarely known common practice is to estimate them. Then, the control limits are modified and become actually random variables. In this paper, we deal with the univariate control charts for dispersion...
Persistent link: https://www.econbiz.de/10005260044
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An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2005
The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality. In this article, we examine the case of non normality in the EWMA charts for the dispersion. It is...
Persistent link: https://www.econbiz.de/10005837256
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EWMA Chart and Measurement Error
Maravelakis, Petros; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2004
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving...
Persistent link: https://www.econbiz.de/10005621235
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Properties and performance of the c-chart for attributes data
Chakraborti, S.; Human, S. W. - In: Journal of Applied Statistics 35 (2008) 1, pp. 89-100
The effects of parameter estimation are examined for the well-known c-chart for attributes data. The exact run length distribution is obtained for Phase II applications, when the true average number of non-conformities, c, is unknown, by conditioning on the observed number of non-conformities in...
Persistent link: https://www.econbiz.de/10005458246
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Análisis del encadenamiento entre actividades productivas en la economía Boliviana
Bustos Anaya, Paul S. - 2011
This paper explores the relation between activities in the Bolivian economy as suppliers and demanders of intermediate inputs, this whit the purpose to determine which activities have great impact on the rest of the economy and which ones are less integrated. For this, Rasmussen indexes are...
Persistent link: https://www.econbiz.de/10010294054
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Learning Causal Relations in Multivariate Time Series Data
Chihying, Hsiao; Chen, Pu - 2007
Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...
Persistent link: https://www.econbiz.de/10010295223