On jackknife

dc.contributor.author	Φράγκος, Χρήστος Κ. (1949-)	el
dc.contributor.author	Stone, Mervyn	en
dc.date.accessioned	2015-05-05T06:52:41Z
dc.date.issued	2015-05-05
dc.identifier.uri	http://hdl.handle.net/11400/9712
dc.rights	An error occurred on the license name.	*
dc.rights.uri	An error occurred getting the license - uri.	*
dc.source	http://biomet.oxfordjournals.org/content/71/2/361	el
dc.subject	Bootstrap (Statistics)
dc.subject	Computer-intensive method
dc.subject	Υπολογιστές-μέθοδος υψηλής έντασης
dc.subject	Cross-validation
dc.subject	Ενδοπιστοποίηση
dc.subject	Jackknife (Statistics)
dc.subject	Mixed binomial
dc.subject	Μικτή διωνυμική
dc.title	On jackknife	en
heal.type	journalArticle
heal.secondaryTitle	cross-validatory and classical methods of estimating a proportion with batches of different sizes	en
heal.classification	Mathematics
heal.classification	Statistics
heal.classification	Μαθηματικά
heal.classification	Στατιστική
heal.classificationURI	http://zbw.eu/stw/descriptor/15045-3
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh99001414
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Στατιστική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh91004766
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh95003102
heal.identifier.secondary	doi: 10.1093/biomet/71.2.361
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Επιχειρήσεων. Κατεύθυνση Διοίκηση Επιχειρήσεων	el
heal.publicationDate	1983-07
heal.bibliographicCitation	Frangos, C. C. and Stone, M. (1984). On jackknife: cross-validatory and classical methods of estimating a proportion with batches of different sizes. "Biometrika", 71(2). July 1983. Biometrika Trust. pp. 361-366. Available from: http://biomet.oxfordjournals.org/content/71/2/361. [Accessed 10/1983]	en
heal.abstract	Some properties of a proposed jackknife estimator of a proportion from batches of different sizes are exposed. Alternative ‘computer-intensive’ estimators are devised which, together with some ‘classical’ estimators, are then compared in a simulation study of their mean squared errors and the coverage and expected length of their associated confidence intervals.	en
heal.publisher	Biometrika Trust	en
heal.journalName	Biometrika	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false