Optimal Knots Point and Bandwidth Selection in Modeling Mixed Estimator Nonparametric Regression
ATR Dani, V Ratnasari… - IOP Conference Series …, 2021 - iopscience.iop.org
The nonparametric regression model that is currently developing is limited to only one
estimator form that is used. This happens, due to the assumption from the researcher that …
estimator form that is used. This happens, due to the assumption from the researcher that …
Mixed estimator of spline truncated, Fourier series, and kernel in biresponse semiparametric regression model
Regression analysis is a method of analysis to determine the relationship between the
response and the predictor variables. There are three approaches in regression analysis …
response and the predictor variables. There are three approaches in regression analysis …
Consistency and asymptotic normality of estimator for parameters in multiresponse multipredictor semiparametric regression model
A multiresponse multipredictor semiparametric regression (MMSR) model is a combination
of parametric and nonparametric regressions models with more than one predictor and …
of parametric and nonparametric regressions models with more than one predictor and …
[HTML][HTML] Statistical inference on nonparametric regression model with approximation of Fourier series function: Estimation and hypothesis testing
M Ramli, IN Budiantara, V Ratnasari - MethodsX, 2024 - Elsevier
Nonparametric regression is an approximation method in regression analysis that is not
constrained by the assumption of knowing the regression curve. One of the functions to …
constrained by the assumption of knowing the regression curve. One of the functions to …
Reproducing kernel Hilbert space approach to multiresponse smoothing spline regression function
In statistical analyses, especially those using a multiresponse regression model approach, a
mathematical model that describes a functional relationship between more than one …
mathematical model that describes a functional relationship between more than one …
Multiresponse semiparametric regression model approach to standard growth charts design for assessing nutritional status of East Java toddlers
A nutritional status of toddlers characterized by a lack of weight based on anthropometric
index weight-for-age (W/A) is called underweight. In Indonesia, the anthropometric index is …
index weight-for-age (W/A) is called underweight. In Indonesia, the anthropometric index is …
Platelet Modeling in DHF Patients Using Local Polynomial Semiparametric Regression on Longitudinal Data
TW Utami, N Chamidah… - JTAM (Jurnal Teori dan …, 2024 - journal.ummat.ac.id
Regression analysis is one of the statistical methods used to model the relationship between
response variables and predictor variables. Semiparametric regression is a combination of …
response variables and predictor variables. Semiparametric regression is a combination of …
Prediction of pH and total soluble solids content of mango using biresponse multipredictor local polynomial nonparametric regression
Mango's internal quality can be determined based on its acidity and sweetness in the form of
pH and total soluble solids (TSS) content. Research on fruit internal quality prediction based …
pH and total soluble solids (TSS) content. Research on fruit internal quality prediction based …
[PDF][PDF] Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function. Symmetry 2022, 14, 2227
In statistical analyses, especially those using a multiresponse regression model approach, a
mathematical model that describes a functional relationship between more than one …
mathematical model that describes a functional relationship between more than one …
Empirical Performance of Nonparametric Kernel Estimators with Data-Driven Bandwidths for Lifetime Distributions
JA Khan, M Ejaz, D Aydin - Applications of Mathematical …, 2023 - journals.smarcons.com
During the past several years, many methods for selecting the smoothing parameter have
been added in the field of nonparametric kernel regression. The performance of newly …
been added in the field of nonparametric kernel regression. The performance of newly …