BibTex Citation Data :
@article{J.Gauss35019, author = {Muhammad Fajar and Eko Fajariyanto}, title = {PENERAPAN SMOOTHING B-SPLINES PADA HUBUNGAN ANTARA PERTUMBUHAN EKONOMI DAN TINGKAT KEBAHAGIAAN}, journal = {Jurnal Gaussian}, volume = {11}, number = {4}, year = {2023}, keywords = {economic growth; happiness; model;, spline; nonparametrics}, abstract = { This study aimed to model the smoothing of B-splines on the relationship between happiness and economic growth. The method used in this research is smoothing B-splines, which were in the process of determining knot s and smoothing parameters (λ) based on the minimum GCV. The data used in the study came from Badan Pusat Statistik-Statistics Indonesia. The results of this study concluded that the smoothing of B-splines is quite good at modeling the relationship between the level of happiness (response variable) and economic growth (predictor variable). The smoothing B-splines model can explain the variation in the level of happiness by 71.583 percent. }, issn = {2339-2541}, pages = {605--615} doi = {10.14710/j.gauss.11.4.605-615}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/35019} }
Refworks Citation Data :
This study aimed to model the smoothing of B-splines on the relationship between happiness and economic growth. The method used in this research is smoothing B-splines, which were in the process of determining knots and smoothing parameters (λ) based on the minimum GCV. The data used in the study came from Badan Pusat Statistik-Statistics Indonesia. The results of this study concluded that the smoothing of B-splines is quite good at modeling the relationship between the level of happiness (response variable) and economic growth (predictor variable). The smoothing B-splines model can explain the variation in the level of happiness by 71.583 percent.
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