WASET
	%0 Journal Article
	%A Dursun Aydın and  Bilgin Senel
	%D 2008
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 16, 2008
	%T Relationship between Sums of Squares in Linear Regression and Semi-parametric Regression
	%U https://publications.waset.org/pdf/11034
	%V 16
	%X In this paper, the sum of squares in linear regression is
reduced to sum of squares in semi-parametric regression. We
indicated that different sums of squares in the linear regression are
similar to various deviance statements in semi-parametric regression.
In addition to, coefficient of the determination derived in linear
regression model is easily generalized to coefficient of the
determination of the semi-parametric regression model. Then, it is
made an application in order to support the theory of the linear
regression and semi-parametric regression. In this way, study is
supported with a simulated data example.
	%P 211 - 215