Combine Wald, Agresti & Coull and Aresine methods to construct p chart

Xuedong Ding, Michael W. Riley, Terry L. Stentz, Sagar S. Kulkarni

Research output: Contribution to conferencePaper

Abstract

It is well known that the p chart is based on the approximation of normality of a maximum likelihood estimator to calculate the upper and lower limits. The discreteness of the binomial distribution often makes the normal approximation work poorly even with large samples. This paper presents a method that combine Wald, Agresti & Coull and Arcsine interval to construct p Chart.

Original languageEnglish (US)
StatePublished - 2006
Event2006 IIE Annual Conference and Exposition - Orlando, FL, United States
Duration: May 20 2006May 24 2006

Conference

Conference2006 IIE Annual Conference and Exposition
CountryUnited States
CityOrlando, FL
Period5/20/065/24/06

Keywords

  • Agresti & Coull interval
  • Arcsine interval
  • P chart
  • Waid confidence interval

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Ding, X., Riley, M. W., Stentz, T. L., & Kulkarni, S. S. (2006). Combine Wald, Agresti & Coull and Aresine methods to construct p chart. Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States.