TY - JOUR
T1 - Multivariable Semiparametric Regression Model with Combined Estimator of Fourier Series and Kernel
AU - Nisa, Khaerun
AU - Budiantara, I. Nyoman
AU - Rumiati, Agnes Tuti
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/4/4
Y1 - 2017/4/4
N2 - We purpose a combined estimator of Fourier series and Kernel on semiparametric regression. This method is used to resolve the problem of regression modeling, when the relationship between the response variable and the predictor variables most follow a certain pattern, partly have a repetitive pattern, and some others not follow a specific pattern. Moreover, this method depends on oscillation, smoothing parameter and bandwidth. The purpose of this research are to obtained the estimator of semiparametric regression model with combined estimator of Fourier series and Kernel using Penalized Least Square method (PLS). The result show that the PLS estimation produces the estimator of parametrik linier regression, the estimator of Fourier series, the estimator of Kernel, and also the combined estimator of Fourier series and Kernel in semiparametric regression model.
AB - We purpose a combined estimator of Fourier series and Kernel on semiparametric regression. This method is used to resolve the problem of regression modeling, when the relationship between the response variable and the predictor variables most follow a certain pattern, partly have a repetitive pattern, and some others not follow a specific pattern. Moreover, this method depends on oscillation, smoothing parameter and bandwidth. The purpose of this research are to obtained the estimator of semiparametric regression model with combined estimator of Fourier series and Kernel using Penalized Least Square method (PLS). The result show that the PLS estimation produces the estimator of parametrik linier regression, the estimator of Fourier series, the estimator of Kernel, and also the combined estimator of Fourier series and Kernel in semiparametric regression model.
UR - http://www.scopus.com/inward/record.url?scp=85018699212&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/58/1/012028
DO - 10.1088/1755-1315/58/1/012028
M3 - Conference article
AN - SCOPUS:85018699212
SN - 1755-1307
VL - 58
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012028
T2 - 3rd International Seminar on Sciences: Sciences on Precision and Sustainable Agriculture, ISS 2016
Y2 - 4 November 2016
ER -