Longitudinal data modeling is widely carried out using parametric methods. However, when
the parametric model is misspecified, the obtained estimator might be severely biased and …

Unmanned ground vehicles (UGVs) are technically complex machines to operate in difficult
or dangerous environmental conditions. In recent years, there has been an increase in …

This article reviews one of the non-parametric functions, namely the MARS (Multivariate
Adaptive Regression Spline) method, a complex combination of recursive partitioning and …

A multiresponse multipredictor semiparametric regression (MMSR) model is a combination
of parametric and nonparametric regressions models with more than one predictor and …

In statistical analyses, especially those using a multiresponse regression model approach, a
mathematical model that describes a functional relationship between more than one …

Background: The growth of children aged 0–60 months can impact their subsequent growth
and development. This study aims to identify the vulnerable age for boys and girls, who …

In data analysis using a nonparametric regression approach, we are often faced with the
problem of analyzing a set of data that has mixed patterns, namely, some of the data have a …

A mixed estimator nonparametric regression (MENR) model is an additive model that
involves a combination of two estimators or more in multivariable nonparametric regression …

In some cases of regression modeling, it is very common to find a repeating pattern. To
model this, of course, the approach used must be in accordance with the characteristics of …

To date, nonparametric regression studies using a combined estimator model have recently
begun to develop significantly. Yet previous research employing this approach is still …