PEMODELAN ANGKA HARAPAN HIDUP LAKI-LAKI DAN PEREMPUAN DI INDONESIA MENGGUNAKAN PENDEKATAN REGRESI SEMIPARAMETRIK SPLINE TRUNCATED

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dc.contributor.authorWulandari, Novalita
dc.contributor.supervisorHarison, Harison
dc.date.accessioned2023-12-04T04:04:38Z
dc.date.available2023-12-04T04:04:38Z
dc.date.issued2023-08
dc.description.abstractLife expectancy (LE) ) is an indicator of health status used to improve the quality of human life. This study models the LE of men and women to determine the factors that have a significant effect using a truncated spline semiparametric regression approach. This regression is done by looking at the optimum knot point from the minimum Cross Validation (CV) value. Based on the method used, the best model produced is with three knot points. The results of the analysis on male LE are that all independent variables have a significant effect, with a minimum CV value of 5.30 and a coefficient of determination ( ) of 96.70%. Meanwhile, in female LE, there are three independent variables that have a significant effect out of a total of eight independent variables, with a minimum CV value of 11.05 and a coefficient of determination ( ) of 86,82%.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11255
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectLife expectancyen_US
dc.subjectsemiparametric regressionen_US
dc.subjectspline truncateden_US
dc.subjectcross validationen_US
dc.titlePEMODELAN ANGKA HARAPAN HIDUP LAKI-LAKI DAN PEREMPUAN DI INDONESIA MENGGUNAKAN PENDEKATAN REGRESI SEMIPARAMETRIK SPLINE TRUNCATEDen_US
dc.typeArticleen_US

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