BibTex Citation Data :
@article{JM1387, author = {Siti Nasfirah and I Budiantara and Kartika Fitriasari}, title = {MODEL REGRESI NONPARAMETRIK ADITIF DENGAN FUNGSI LINK}, journal = {MATEMATIKA}, volume = {9}, number = {2}, year = {2012}, keywords = {}, 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 R d , 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 R 2 value of the estimator is similar. }, url = {https://ejournal.undip.ac.id/index.php/matematika/article/view/1387} }
Refworks Citation Data :
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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Last update: 2024-11-20 22:04:24