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<http://digilib.unila.ac.id/id/eprint/54839> <http://purl.org/dc/terms/title> "ESTIMASI MODEL REGRESI SEMIPARAMETRIK DENGAN\r\nPENDUGA NADARAYA-WATSON KERNEL UNIFORM"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/54839> <http://purl.org/ontology/bibo/abstract> "Estimasi model regresi semiparametrik adalah estimasi yang menggabungkan\r\nmodel regresi parametrik dan nonparametrik. Tujuan dari penelitian ini adalah\r\nuntuk menganalisis model regresi semiparametrik dengan menggunakan estimator\r\nkernel uniform dari kasus demam berdarah dan data simulasi. Bandwidth optimal\r\npada kurva regresi semiparametrik didasarkan pada kriteria GCV. Hasil dari\r\npenelitian ini menunjukkan bahwa model regresi semiparametrik dengan kernel\r\nuniform dapat mengestimasi data asli dan data simulasi dengan sangat baik.\r\nKata Kunci: Regresi Semiparametrik, Kernel, Bandwidth, GCV\r\nSemiparametric regression model is an estimation that combines both parametric\r\nand nonparametric regression model. This study aims to analyze semiparametric\r\nregression model using uniform kernel estimator with dengue fever case and\r\nsimulated data. The optimal bandwidth of semiparametric regression curve is\r\nobtained based on GCV value. The result shows that semiparametric regression\r\nmodel with uniform kernel is able to estimate the real and simulated data very\r\nwell.\r\nKeywords: Semiparametric Regression, Kernel, Bandwidth, GCV"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/54839> <http://purl.org/dc/terms/date> "2019" .
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<http://digilib.unila.ac.id/id/document/1883144> <http://eprints.org/relation/issmallThumbnailVersionOf> <http://digilib.unila.ac.id/id/document/1883072> .
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