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Non-parametric Control Chart for Controlling Variability Based on Rank Test
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Nandini Das
Veröffentlicht/Copyright:
15. März 2010
Abstract
Control charts are used to identify the presence of an assignable cause of variation in the process. The non-parametric control chart is an emerging area of development in the theory of SPC. Its main advantage is that it does not require any knowledge about the underlying distribution of the variable. In this paper two non-parametric control charts for controlling variability are derived based on two non-parametric tests. Their in-control state performance is analyzed for different distributions by means of simulations. Furthermore, their efficiency in detecting shifts in the variability is evaluated.
Published Online: 2010-03-15
Published in Print: 2008-October
© Heldermann Verlag
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Artikel in diesem Heft
- Stochastic Measurement Procedures Based on Stationary Time Series
- Semi-Parametric Estimation of PX,Y (X > Y)
- On The Performance of A New Test of Exponentiality Against IFR Alternatives Based on the L-statistic Approach
- Control Chart for Autocorrelated Processes with Heavy Tailed Distributions
- Designing the Scale Counting Procedure for Large Numbers of Small Parts
- MTBF for K-out-of-N: G Systems with M Failure Modes
- Non-parametric Control Chart for Controlling Variability Based on Rank Test
- Bounds for Distorted Risk Measures
- Parameter Estimation for the Bivariate Exponential Distribution by the EM Algorithm Based on Censored Samples
- Explicit Expressions for Moments of Log Normal Order Statistics
- Partially Specified Prior
- The Need for a Standard for Making Predictions
