Garuda Documents : PEMILIHAN PARAMETER PENGHALUS DALAM REGRESI SPLINE LINIER

TitlePEMILIHAN PARAMETER PENGHALUS DALAM REGRESI SPLINE LINIER
Author Order1 of 1
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AbstractThis paper discusses aselection of smoothing parameters for the linier spline regression estimation on 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.
Publisher NameJurusan Matematika FMIPA Universitas Jenderal Soedirman
Publish Date2011-06-24
Publish Year2011
DoiDOI: 10.20884/1.jmp.2011.3.1.2969
Citation
SourceJurnal Ilmiah Matematika dan Pendidikan Matematika
Source IssueVol 3 No 1 (2011): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Source Page9-19
Urlhttp://jos.unsoed.ac.id/index.php/jmp/article/view/2969/1672
AuthorDra AGUSTINI TRIPENA BR SURBAKTI, M.Si
File1743406.pdf