Fast initial response features for EWMA control charts
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Publication:1767300
DOI10.1007/BF02762034zbMath1057.62115MaRDI QIDQ1767300
Publication date: 8 March 2005
Published in: Statistical Papers (Search for Journal in Brave)
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Related Items (19)
An efficient approach of designing distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale ⋮ Synthetic-\(\bar X\) control charts optimized for in-control and out-of-control regions ⋮ Multivariate Control Charts for Monitoring the Process Mean and Variability Using Sequential Sampling ⋮ Applying fast initial response features on GWMA control charts for monitoring autocorrelation data ⋮ Generally weighted moving average control charts with fast initial response features ⋮ Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart ⋮ Surveillance of the covariance matrix of multivariate nonlinear time series ⋮ An enhanced EWMA-t control chart for monitoring the process mean ⋮ Behavior of EWMA type control charts for small smoothing parameters ⋮ Univariate fast initial response statistical process control with taut strings ⋮ Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts ⋮ Fast Initial Response Features for Poisson GWMA Control Charts ⋮ A mixed GWMA–CUSUM control chart for monitoring the process mean ⋮ A process variability control chart ⋮ A fast online monitoring approach for surgical risks ⋮ Quality surveillance with EWMA control charts based on exact control limits ⋮ An EWMA chart for monitoring process mean ⋮ The Design and Performance of the Multivariate Synthetic-T2Control Chart ⋮ Economic-Statistical Design of EWMA Control Charts Based on Taguchi's Loss Function
Cites Work
- Alarm rates for quality control charts
- The Distribution of the Run Length of One-Sided CUSUM Procedures for Continuous Random Variables
- Bounds for the Distribution of the Run Length of Geometric Moving Average Charts
- A Simple Method for Studying Run-Length Distributions of Exponentially Weighted Moving Average Charts
- Average Run Lengths of Geometric Moving Average Charts by Numerical Methods
- EWMA Schemes with Nonhomogeneous Transition Kernels
- Evaluations of likelihood ratio methods for surveillance.
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