In daily life, mixed data patterns are often found, namely, those that change at a certain sub-
interval or that follow a repeating pattern in a certain trend. To handle this kind of data, a …

Geographically Weighted Regression (GWR) is the development of multiple linear
regression models used in spatial data. The assumption of spatial heterogeneity results in …

One of the approach of Geographically Weighted Regression (GWR) models is the
Geographically Weighted Nonparametric Regression (GWNR) has more parameters than …

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) …

In previous research about multi-response nonparametric regression models, each predictor
variable is considered to have the same pattern concerning each response variable. In …

This study investigates the influence of technological factors on the intent to use Machine
Learning (ML) tools such as Python for the purpose of predicting stock prices. Further, it …

Nonparametric regression becomes a potential solution if the parametric regression
assumption is too restrictive while the regression curve is assumed to be known. In …

Mixed estimators in nonparametric regression have been developed in models with one
response. The biresponse cases with different patterns among predictor variables that tend …

There has been increasing interest in mixed estimators in nonparametric regression,
although so far these have only been used for cross-sectional data. This paper proposes a …

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 …