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ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT

Unisda Journal of Mathematics and Computer Science (UJMC)

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ISSN 2579-907X
2460-3333
 
Authentication Code dc
 
Title Statement ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
 
Added Entry - Uncontrolled Name Fitasari, Baiq Diah
Haryatmi, Sri
Zulaela, Zulaela
Universitas Islam Al-Azhar Mataram
Universitas Gadjah Mada
Universitas Gadjah Mada
 
Summary, etc. 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.
 
Publication, Distribution, Etc. Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan
 
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http://e-jurnal.unisda.ac.id/index.php/ujmc/article/view/442
 
Data Source Entry Unisda Journal of Mathematics and Computer Science (UJMC); Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
 
Language Note eng
 
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