Estimation of P(x>y) in case of bivariate normal distribution using ranked set sampling with concomitant variable

dc.contributor.author	Abu-Dayyeh, Walid	en
dc.contributor.author	Dorvlo, Atsu S. S.	en
dc.contributor.author	Al-Saidy, Obaid	en
dc.date.accessioned	2015-01-30T01:22:03Z
dc.date.available	2015-01-30T01:22:03Z
dc.date.issued	2015-01-30
dc.identifier.uri	http://hdl.handle.net/11400/5093
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	Απλή τυχαία δειγματοληψία
dc.subject	Σετ δειγματοληψίας
dc.subject	Ταυτόχρονη Μεταβλητή
dc.subject	Μέσο τετραγωνικό σφάλμα
dc.subject	Simple Random Sampling
dc.subject	Set Sampling
dc.subject	Concomitant Variable
dc.subject	Mean Square Error
dc.title	Estimation of P(x>y) in case of bivariate normal distribution using ranked set sampling with concomitant variable	en
heal.type	conferenceItem
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	http://id.loc.gov/authorities/subjects/sh85082139
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh99001414
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Στατιστική
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	Abu-Dayyeh, W., Dorvlo, A.S. and Al-Saidy, O. (2009) Estimation of p(x>y) in case of bivariate normal distribution using ranked set sampling with concomitant variable. 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. 66-74.	en
heal.abstract	Nonparametric-type estimation of θ=P( X>Y ) based on ranked set sampling technique with concomitant random variable, is considered. The maximum likelihood estimation of Θ is also considered using RSS (ranked set sampling) and MRSS (median ranked set sampling) techniques with concomitant random variable. The estimators obtained are compared to their counterparts based on simple random sampling (SRS) using bias and MSE (mean square error). It appears that the suggested nonparametric estimator based on RSS is more efficient than that based on SRS and the MLE estimator based on MRSS is more efficient than the MLE based on RSS which is in turn more efficient than the MLE based on SRS.	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 Economic and Administrative Sciences	en
heal.conferenceItemType	full paper