MODEL REGRESI NONPARAMETRIK ADITIF DENGAN FUNGSI LINK

Received: 26 Jan 2012; Published: 26 Jan 2012.
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Language: EN
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Abstract


If  given a couple of data  and  the  relationship  between  variable x and y is revealed as nonparametric regression model with is an error which is random variable with zero mean and variance  and is unknown function. If is an additive function with x  Rd, d ≥ 2. By using link function F, this research is focused on the way to get the estimator in additive component with link function by using two-stage methode and completed with simulation using logit link function. The result shows that two-stage estimator is eisier be used to model nonparametric regression by link function rather than Nadaraya-Watson and local linear. From the simulation, it’s obtained that of the mean and R2 value of the estimator is similar.

 

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