REGRESI POLINOMIAL LOKAL DENGAN FUNGSI KERNEL GAUSSIAN; (LOCAL POLYNOMIAL REGRESSION WITH GAUSSIAN KERNEL)

Aulia, Ayu, Subanar

2016 | Skripsi | FMIPA

Local polynomial regression is one type of estimator of the kernel regression functions that use polynomial form in which the order of polynomial depend on reseacher. Kernel regression function is one of the nonparametric regression analysis which is an alternative to the current statistical parametric analysis can not be used. Local polynomial regression is based on the principle of giving weight to each observation with a weighting function of the kernel, while the size of the weights are determined by the parameters of bandwidth. In this thesis will be discussed about how to estimate the body mass index (BMI) of adult at Mlati, Sleman in 2015 using regression polynomial Local with Gaussian kernel and the method of selecting bandwidth is Bandwidth "Rule of Thumb", Modified Cross Validation, Biased Cross Validation and Complete Cross Validation. The value of MSE of each method for selecting bandwidth will be compared. The result shows that the smallest MSE obtained using methods bandwidth "Rule of Thumb" with a value of 18.28869.

Kata Kunci : N