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

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

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

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

Durham School of Architectural Engineering and Construction

Research output: Contribution to conference › Paper › peer-review

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 language	English (US)
State	Published - 2006
Event	2006 IIE Annual Conference and Exposition - Orlando, FL, United States Duration: May 20 2006 → May 24 2006

Conference

Conference	2006 IIE Annual Conference and Exposition
Country/Territory	United States
City	Orlando, FL
Period	5/20/06 → 5/24/06

Keywords

Agresti & Coull interval
Arcsine interval
P chart
Waid confidence interval

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Cite this

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

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.",

keywords = "Agresti & Coull interval, Arcsine interval, P chart, Waid confidence interval",

author = "Xuedong Ding and Riley, {Michael W.} and Stentz, {Terry L.} and Kulkarni, {Sagar S.}",

year = "2006",

language = "English (US)",

note = "2006 IIE Annual Conference and Exposition ; Conference date: 20-05-2006 Through 24-05-2006",

}

TY - CONF

T1 - Combine Wald, Agresti & Coull and Aresine methods to construct p chart

AU - Ding, Xuedong

AU - Riley, Michael W.

AU - Stentz, Terry L.

AU - Kulkarni, Sagar S.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Agresti & Coull interval

KW - Arcsine interval

KW - P chart

KW - Waid confidence interval

UR - http://www.scopus.com/inward/record.url?scp=84858461693&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858461693&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84858461693

T2 - 2006 IIE Annual Conference and Exposition

Y2 - 20 May 2006 through 24 May 2006

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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