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dc.contributor.authorDisney, SM
dc.date.accessioned2019-09-10T10:21:45Z
dc.date.issued2016-12-14
dc.description.abstractThe Wald interval is typically used to assign confidence to the accuracy of activity sampling studies. It is known the performance of the Wald interval is poor, especially when the observed probability is near zero or one. The suitability of the Wald interval for activity sampling is not often discussed in the operations management literature; if it is, this is usually followed by inappropriate and incorrect advice. Herein, a range of alternative binominal confidence intervals for activity sampling is reviewed. A number of selection criteria are considered including achievement of the target nominal coverage probability, size of the interval, and ease of use and presentation. It is recommended that the Clopper-Pearson interval is used for activity sampling. A table of confidence intervals and sample sizes that is specifically designed to be used within a new activity sampling procedure based on the Clopper-Pearson interval is developed. Finally, pedagogical issues are considered.en_GB
dc.identifier.citationVol. 10 (6), pp. 724 - 759en_GB
dc.identifier.doi10.1504/EJIE.2016.081021
dc.identifier.urihttp://hdl.handle.net/10871/38638
dc.language.isoenen_GB
dc.publisherInderscienceen_GB
dc.rights© 2016 Inderscience.en_GB
dc.titleRevisiting activity sampling: A fresh look at binomial proportion confidence intervalsen_GB
dc.typeArticleen_GB
dc.date.available2019-09-10T10:21:45Z
dc.identifier.issn1751-5254
dc.descriptionThis is the author accepted manuscript. The final version is available from Inderscience via the DOI in this recorden_GB
dc.identifier.journalEuropean Journal of Industrial Engineeringen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2016-05-20
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2016-05-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-09-10T10:20:12Z
refterms.versionFCDAM
refterms.dateFOA2019-09-10T10:21:49Z
refterms.panelCen_GB


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