%A Tripena Br. Sb., Agustini %D 2011 %T PEMILIHAN PARAMETER PENGHALUS DALAM REGRESI SPLINE LINIER %K %X This paper discusses aselection of smoothing parameters for the linier spline regression estimation o n the data of electrical voltage differences in the wastewater. The selection methods are based on the mean square errorr (MSE) and generalized cross validation (GCV) . The results show that in selection of smooting paranceus the mean square error (MSE) method gives smaller value , than that of the generalized cross validatio (GCV) method . It means that for our data case the errorr mean square (MSE) is the best selection method of smoothing parameter for the linear spline regression estimation. %U http://jos.unsoed.ac.id/index.php/jmp/article/view/2969 %J Jurnal Ilmiah Matematika dan Pendidikan Matematika %0 Journal Article %R 10.20884/1.jmp.2011.3.1.2969 %P 9-19%V 3 %N 1 %@ 2550-0422 %8 2011-06-24