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Erschienen in:
2015 | OriginalPaper | Buchkapitel
5. Sigma Estimation
verfasst von : K. Muralidharan
Erschienen in: Six Sigma for Organizational Excellence
Verlag: Springer India
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Abstract
In the previous chapter, we have seen the importance of a process and variation associated with a process. The necessity of estimating standard deviation is always an important aspect in statistical study including variation estimation, sample size determination; control charts preparations, and sigma-level estimations. The importance of sigma estimation is the central part of Six Sigma study where process improvements are usually talked in terms of sigma level and its estimation. Various methods such as sample range and sample standard deviations have been used to estimate standard deviation. The obvious limitation of all these methods is their natural sensitivity regarding normality assumption of sample observations. In this chapter, we provide some robust estimates which are computationally simple and can be implemented as per the requirement in practical problems.