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Sri Haryatmi
Universitas Gadjah Mada
Computer Science & IT Education Mathematics

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ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT Baiq Diah Fitasari; Sri Haryatmi; Zulaela Zulaela
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.964 KB) | DOI: 10.52166/ujmc.v2i1.442

Abstract

Approaches that are used to estimate the regression function are parametric regression model approaching and nonparametric regression model approaching. Semiparametric regression is association of parametric regression and nonparametric regression. Semiparametric regression is used if the relation pattern between independent variables and dependent variables has the known pattern and also has the unknown pattern. Estimating the unknown regression approaching and in this case is using the Nadaraya Watso estimator. Semiparametric estimator is better than nonparametric estimator for the data which have the unknown relationpattern between dependent and independent variable and also has the unknown relation pattern between dependent and independent variable by using the MSE value.
Co-Authors Baiq Diah Fitasari Zulaela Zulaela