Comparison of the classical methods with the bootstrap

dc.contributor.author	Τσαγρής, Μιχαήλ	el
dc.contributor.author	Ελματζόγλου, Ιωάννης	el
dc.contributor.author	Φράγκος, Χρήστος Κ. (1949-)	el
dc.date.accessioned	2015-01-28T23:26:10Z
dc.date.available	2015-01-28T23:26:10Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/4993
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.subject	Bootstrap (Statistics)
dc.subject	Correlation (Statistics)
dc.subject	Confidence intervals
dc.subject	Εκκίνηση
dc.subject	Συσχετισμός
dc.subject	Διαστήματα εμπιστοσύνης
dc.title	Comparison of the classical methods with the bootstrap	en
heal.type	conferenceItem
heal.secondaryTitle	computer intensive techniques in estimating parameters of the bivariate poison distribution	en
heal.generalDescription	ISSN Σειράς Πρακτικών: 1791 – 8499	el
heal.generalDescription	Proceedings Series: 1791 - 8499	en
heal.classification	Mathematics
heal.classification	Statistics
heal.classification	Μαθηματικά
heal.classification	Στατιστική
heal.classificationURI	N/A-Mathematics
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh99001414
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Στατιστική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85082139
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh91004766
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85033032
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85030927
heal.contributorName	Φράγκος, Χρήστος Κ. (1949-) (επιμ.)	el
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Επιχειρήσεων. Κατεύθυνση Διοίκησης Επιχειρήσεων.	el
heal.publicationDate	2009-05
heal.bibliographicCitation	Tsagris, M., Elmatzoglou, I. and Frangos, C.C. (2009). Comparison of the classical methods with the bootstrap: computer intensive techniques in estimating parameters of the bivariate poison distribution. In Proceedings of the 2nd International Conference: Quantitative and qualitative methodologies in the economic and administrative sciences. Athens, 25th to 27th May 2009. Athens: TEI of Athens. pp. 493-500.	en
heal.abstract	The bivariate Poisson distribution can be formed with the help of three independent univariate Poisson distributions. We generated values from a bivariate Poisson distribution via simulation and tried to estimate the covariance parameter which is of great importance since the correlation coefficient is linked to it. There are several methods to estimate the parameters of this distribution and hence the correlation coefficient. In this study we provide a comparison of various non parametric methods for estimating the true value of this coefficient. Techniques such as bootstrap-t, BCA, Fisher's approximation and more, are discussed along with their advantages and drawbacks. The Studentized Bootstrap presented a good coverage probability and a tolerable Confidence Interval and Mean Length.	en
heal.publisher	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας	el
heal.publisher	TEI of Athens	en
heal.fullTextAvailability	true
heal.conferenceName	2nd International Conference: Quantitative and Qualitative Methodologies in the Economics and Administrative Sciences	en
heal.conferenceItemType	full paper