Comparison Of Binary Logistic Regression Models Based On Bootstrap Method: An Application On Coronary Artery Disease Data

dc.contributor.author	Akyüz Esra, Hayriye
dc.contributor.author	Gamgam, Hamza
dc.date.accessioned	2021-12-15T10:45:15Z
dc.date.available	2021-12-15T10:45:15Z
dc.date.issued	2019
dc.identifier.issn	2147-1762
dc.identifier.uri	https://app.trdizin.gov.tr/makale/TXpJME5EQXpNdz09/comparison-of-binary-logistic-regression-models-based-on-bootstrap-method-an-application-on-coronary-artery-disease-data
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/2820
dc.description.abstract	This study is aimed to obtain an appropriate logistic regression model based on the bootstrapmethods. For this purpose, two bootstrap methods called bootstrap I and bootstrap II are given toobtain the estimations of parameters and standard errors. Traditi
dc.language.iso	English
dc.source	Gazi University Journal of Science
dc.title	Comparison Of Binary Logistic Regression Models Based On Bootstrap Method: An Application On Coronary Artery Disease Data
dc.identifier.issue	1
dc.identifier.startpage	318
dc.identifier.endpage	331
dc.identifier.volume	32

Files in this item

Files	Size	Format	View
There are no files associated with this item.