@article{(Open Science Index):https://publications.waset.org/pdf/11034,
	  title     = {Relationship between Sums of Squares in Linear Regression and Semi-parametric Regression},
	  author    = {Dursun Aydın and  Bilgin Senel},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {2},
	  number    = {4},
	  year      = {2008},
	  pages     = {211 - 215},
	  ee        = {https://publications.waset.org/pdf/11034},
	  url   	= {https://publications.waset.org/vol/16},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 16, 2008},
	}