Author

Resmawan

Subject

- Sains

Abstract

Nadaraya-Watson Estimator with kernel approach depends on two-parameter, those are kernel function and bandwidth choice. However, between the two of them, bandwidth choice gave a huge impact on the result of the estimation. By minimizing the value of Mean Square Error (MSE), CrossValidation (CV) and Generalized Cross-Validation (GCV) gave the optimal bandwidth value. In this research, corn production was considered as the dependent variable, while the planted area, harvested area, and fertilizer as the independent variable. The result of this research showed that NadarayaWatson Estimator with Generalized Cross-Validation gives a better corn production estimation with optimal bandwidth value 742392,2, with h1 = 400,h2 = 400,and R2 = 99,99% with MSE 202583,9.

Publisher

Indonesian Journal of Applied Statistics, 3(2), 2020

Contributor

Febriolah Lamusu; Tedy Machmud; R Resmawan

Publish

2020

Material Type

ARTIKEL

Right

-