Spline and kernel mixed estimators in multivariable nonparametric regression for dengue hemorrhagic fever model
This article discusses statistical innovations implemented in the health sector. The research
is being conducted on the treatment and prevention of Dengue Hemorrhagic Fever (DHF) …
is being conducted on the treatment and prevention of Dengue Hemorrhagic Fever (DHF) …
[PDF][PDF] Mixture Spline Smoothing and Kernel Estimator in Multi-Response Nonparametric Regression
In previous research about multi-response nonparametric regression models, each predictor
variable is considered to have the same pattern concerning each response variable. In …
variable is considered to have the same pattern concerning each response variable. In …
Modelling of SDG's Achievement in East Java Using Bi-responses Nonparametric Regression with Mixed Estimator Spline Truncated and Kernel
P Dewanti, IN Budiantara… - Journal of Physics …, 2020 - iopscience.iop.org
Abstract The Government of Indonesia has grouped 17 objectives of SDG's into 4 pillars,
among others: social pillars, economic pillars, the pillars of environmental development and …
among others: social pillars, economic pillars, the pillars of environmental development and …
The mixed estimator of truncated spline and local linear in multivariable nonparametric regression
I Sriliana, IN Budiantara, V Ratnasari - AIP Conference Proceedings, 2023 - pubs.aip.org
In the multivariable nonparametric regression method, modeling is generally done by using
one type of estimator for all predictor variables. This is due to the assumption that each …
one type of estimator for all predictor variables. This is due to the assumption that each …
Nonparametric regression curve estimation using mixed spline truncated and kernel estimator for longitudinal data
MJ Maulidia, IN Budiantara… - AIP Conference …, 2019 - pubs.aip.org
Nonparametric regression is a regression model approach that can be used if the pattern of
the relationship between response and predictor variable is unknown. One of the most …
the relationship between response and predictor variable is unknown. One of the most …
Properties of the mixed smoothing spline and Fourier series estimators in nonparametric regression
NPAM Mariati, IN Budiantara… - AIP Conference …, 2023 - pubs.aip.org
In regression analysis, the pattern of the relationship between two or more variables is not
always a parametric pattern such as linear, quadratic, cubic and others. There are many …
always a parametric pattern such as linear, quadratic, cubic and others. There are many …
Parameter estimation and hypothesis testing on geographically weighted gamma regression
DE Putri, DD Prastyo - Journal of Physics: Conference Series, 2017 - iopscience.iop.org
Having applied to observations from different location, the gamma regression yields global
parameters which are assumed to be valid in any location. In fact, each location may have …
parameters which are assumed to be valid in any location. In fact, each location may have …
[PDF][PDF] Estimator Campuran Spline Truncated dan Deret Fourier Pada Regresi Nonparametrik Multirespon
H Nurcahayani - 2022 - repository.its.ac.id
Analisis regresi nonparametrik multirespon menjadi solusi pada kasus data riil yang
melibatkan lebih dari satu variabel respon saling berkorelasi dengan kurva regresi yang …
melibatkan lebih dari satu variabel respon saling berkorelasi dengan kurva regresi yang …
ESTIMATION OF SEMIPARAMETRIC REGRESSION CURVE WITH MIXED ESTIMATOR OF MULTIVARIABLE LINEAR TRUNCATED SPLINE AND MULTIVARIABLE …
H Hesikumalasari, IN Budiantara, V Ratnasari - MEDIA STATISTIKA - ejournal.undip.ac.id
The response variable of the regression analysis has a linear relationship with one of the
variable predictors, however the unknown relationship pattern with the other predictor …
variable predictors, however the unknown relationship pattern with the other predictor …
[PDF][PDF] Estimator Campuran Spline Smoothing Dan Kernel Dalam Regresi Nonparametrik Multivariabel
R Hidayat - 2020 - repository.its.ac.id
Disertasi ini mengembangkan metode baru dalam mengestimasi kurva regresi
nonparametrik. Metode ini menggabungkan fungsi Spline smoothing dan Kernel. Metode ini …
nonparametrik. Metode ini menggabungkan fungsi Spline smoothing dan Kernel. Metode ini …