On Valid Signals in Joint Schemes for the Process Mean and Variance
-
Tânia Ralha
and
M. Rosário Oliveira
Abstract
Joint schemes for the process mean and the variance are essential to determine if unusual variation in the location and spread of a quality characteristic occurred. This paper comprises a systematic study on the phenomena of misleading, unambiguous and simultaneous signals while dealing with Shewhart and EWMA joint schemes for the process mean and the variance of a normally distributed quality characteristic. Examples have been added to illustrate how the R statistical software can be used to assess the performance of joint schemes in practice, namely when it comes to the occurrence of those valid signals.
Funding source: FCT (Fundação para a Ciência e a Tecnologia)
Award Identifier / Grant number: PEst-OE/MAT/UI0822/2014, PEst-OE/MAT/UI4080/2014
© 2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Likelihood Inference for the Lifetime Performance Index under Progressive Type-II Censoring
- On Inferring Income Inequality Measures Using L-moments
- Negative Binomial Marshall–Olkin Rayleigh Distribution and Its Applications
- On Valid Signals in Joint Schemes for the Process Mean and Variance
- A Note on the Beta Distribution of Lot Percent Defective
Articles in the same Issue
- Frontmatter
- Likelihood Inference for the Lifetime Performance Index under Progressive Type-II Censoring
- On Inferring Income Inequality Measures Using L-moments
- Negative Binomial Marshall–Olkin Rayleigh Distribution and Its Applications
- On Valid Signals in Joint Schemes for the Process Mean and Variance
- A Note on the Beta Distribution of Lot Percent Defective
