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One-sided asymptotic inferences for a proportion.

dc.contributor.authorÁlvarez Hernández, M.
dc.contributor.authorAndrés, A. M.
dc.date.accessioned2023-06-18T06:50:52Z
dc.date.available2023-06-18T06:50:52Z
dc.date.issued2016
dc.description.abstractTwo-sided asymptotic confidence intervals for an unknown proportion p have been the subject of a great deal of literature. Surprisingly, there are very few papers devoted, like this article, to the case of one tail, despite its great importance in practice and the fact that its behavior is usually different from that of the case with two tails. This paper evaluates 47 methods and concludes that (1) the optimal method is the classic Wilson method with a correction for continuity and (2) a simpler option, almost as good as the first, is the new adjusted Wald method (Wald's classic method applied to the data increased in the values proposed by Borkowf: adding a single imaginary failure or success).
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/36440
dc.identifier.doihttp://dx.doi.org.10.1080/02664763.2015.1117595
dc.identifier.issn0266-4763
dc.identifier.officialurlhttp://www.tandfonline.com/doi/abs/10.1080/02664763.2015.1117595?journalCode=cjas20
dc.identifier.relatedurlhttp://www.tandfonline.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/24388
dc.journal.titleJournal of Applied Statistics
dc.page.final15
dc.page.initial1
dc.publisherRoutledge Journals, Taylor & Francis
dc.rights.accessRightsmetadata only access
dc.subject.cdu311
dc.subject.keywordOne-sided asymptotic confidence interval
dc.subject.keywordcontinuity correction
dc.subject.keywordWald method and adjusted Wald method
dc.subject.keywordWilson score method
dc.subject.keywordArcsine transformation
dc.subject.ucmEstadística aplicada
dc.titleOne-sided asymptotic inferences for a proportion.
dc.typejournal article
dspace.entity.typePublication

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