Improved bootstrap confidence intervals in certain toxicological experiments

dc.contributor.author	Φράγκος, Χρήστος Κ. (1949-)	el
dc.contributor.author	Schucany, William R.	el
dc.date.accessioned	2014-12-17T22:35:24Z
dc.date.available	2014-12-17T22:35:24Z
dc.date.issued	2014-12-18
dc.identifier.uri	http://hdl.handle.net/11400/2941
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.tandfonline.com/	en
dc.subject	Jackknife (Statistics)
dc.subject	Influence function
dc.subject	Litter effect
dc.subject	Overdispersion
dc.subject	Studentized pivotal quantity
dc.title	Improved bootstrap confidence intervals in certain toxicological experiments	en
heal.type	journalArticle
heal.generalDescription	Received: Sep 1994, Revised Nov 1994, Published Online: 27 Jun 2007	en
heal.classification	Social sciences
heal.classification	Κοινωνικές επιστήμες
heal.classification	Statistics
heal.classification	Στατιστική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85124003
heal.classificationURI	N/A-Κοινωνικές επιστήμες
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh99001414
heal.classificationURI	N/A-Στατιστική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh95003102
heal.identifier.secondary	Download full text Full access DOI:10.1080/03610929508831524
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Επιχειρήσεων. Κατεύθυνση Διοίκησης Επιχειρήσεων	el
heal.publicationDate	1995
heal.bibliographicCitation	Frangos, C. C. & Schucany, W. R. (1995) Improved bootstrap confidence intervals in certain toxicological experiments. "Communications in Statistics - Theory and Methods". 24 (3). p. 829-844.	en
heal.abstract	The bootstrap, the jackknife, and classical methods are compared through their confidence intervals for the proportion of affected fetuses in a common type of animal experiment. Specifically, suppose that for the ith of M pregnant animals, there are x i affected fetuses out of n i total in the litter. The conditional distribution of x i given n i is sometimes modeled as binomial (n i p i ), where p i is a realization from some unknown continuous density. The p i are not observable and it is of interest in some toxicological experiments to find confidence intervals for E(p). Theory suggests that the proposed parametric bootstrap should produce higher order agreement between the nominal and actual coverage than that exhibited by the usual nonparametric bootstrap. Some simulation results provide additional evidence of this superiority of the modified parametric bootstrap over the jack-knife and classical approaches. The proposed resampling is flexible enough to handle a more general model allowing correlation between p i and n i .	en
heal.publisher	Taylor & Francis	en
heal.journalName	Communications in Statistics - Theory and Methods	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true
heal.dateCreated	1994