Regression analysis with a dtochastic design variable

Sazak, Hakan; Tiku, Moti L.; S., Hakan; Islam, M. Qamarul

dc.contributor.author	Sazak, Hakan
dc.contributor.author	Tiku, Moti L.
dc.contributor.author	S., Hakan
dc.contributor.author	Islam, M. Qamarul
dc.date.accessioned	2016-04-01T11:05:00Z
dc.date.available	2016-04-01T11:05:00Z
dc.date.issued	2006-04
dc.identifier.citation	Sazak, H., Tiko, ML., Islam, MQ. (2006). Regression analysis with a dtochastic design variable. International Statistical Review, 74(1), 77-88.	tr_TR
dc.identifier.issn	0306-7734
dc.identifier.uri	http://hdl.handle.net/20.500.12416/819
dc.description.abstract	In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given	tr_TR
dc.description.abstract	In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given	tr_TR
dc.language.iso	eng	tr_TR
dc.publisher	In Statistical Inst	tr_TR
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	Stochastic Design	tr_TR
dc.subject	Non-Normality	tr_TR
dc.subject	Modified Likelihood	tr_TR
dc.subject	Least Squares	tr_TR
dc.subject	Correlation Coefficient	tr_TR
dc.subject	Hypothesis Testing	tr_TR
dc.title	Regression analysis with a dtochastic design variable	tr_TR
dc.type	article	tr_TR
dc.relation.journal	International Statistical Review	tr_TR
dc.identifier.volume	74	tr_TR
dc.identifier.issue	1	tr_TR
dc.identifier.startpage	77	tr_TR
dc.identifier.endpage	88	tr_TR
dc.contributor.department	Çankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, Ekonomi Bölümü	tr_TR