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 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 …

Neural Network (NN) is an information processing system that has characteristics similar to
biological neural networks. One of the algorithms in NN is Backpropagation Neural Network …

In the era of computation, researchers have paid significant attention to the nonparametric
regression method. Nonparametric regression has the benefit of a high degree of modeling …

Nonparametric regression is a regression approach that is used to determine the
relationship between the response variable and the predictor variable if the shape of the …

Abstract Bivariate Binary Logistic Regression (BBLR) is a logistic model that has two
response variables where each variable depends on two categories with the response …

The relationship between the response variable and the explanatory variable can show
discernible patterns in certain cases, while in others, such patterns can remain unknown …

Nonparametric regression approach is generally used to avoid assumption of certain
regression curve shape. Nonparametric regression has several estimators include Fourier …

This article discusses statistical modeling implemented in the health sector. This study used
a bi-response nonparametric regression method with truncated spline estimation that used …

Penelitian ini bertujuan untuk mengetahui pengaruh hasil belajar dan motivasi siswa pada
materi sistem imunitas menggunakan media e-comic di kelas XI MAN 1 Indramayu. Metode …