Confidence intervals for variance components in Measurement System Capability studies

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2 Citazioni (Scopus)

Abstract

In Measurement System Analysis a relevant issue is how to find confidence intervals for the parameters used to evaluate the capability of a gauge. In literature approximate solutions are available but they produce so wide intervals that they are often not effective in the decision process. In this article we introduce a new approach and, with particular reference to the parameter γR, i.e., the ratio of the variance due to the process and the variance due to the instrument, we show that, under quite realistic assumptions, we obtain confidence intervals narrower than other methods. An application to a real microelectronic case study is reported.
Lingua originaleEnglish
pagine (da-a)2932-2943
Numero di pagine12
RivistaCOMMUNICATIONS IN STATISTICS. THEORY AND METHODS
DOI
Stato di pubblicazionePubblicato - 2012

Keywords

  • Confidence coefficients
  • generalized confidence interval
  • modified large sample
  • repeatability and reproducibility

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