Application of Semiparametric Spline Regression Model in Analyzing Factors that In uence Population Density in Central Java

International Conference on Mathematics: Education, Theory and Application

数学;教育

Sumantari, Y.D.^1 ; Slamet, I.^2 ; Sugiyanto^2

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Indonesia^1

Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Indonesia^2

关键词: Indonesia;    Non-parametric;    Non-parametric regression;    Population densities;    Regression model;    Semi-parametric regressions;    Semiparametric;    Statistical analysis methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/855/1/012049/pdf
DOI  :  10.1088/1742-6596/855/1/012049

学科分类：发展心理学和教育心理学

来源: IOP

【 摘 要 】

Semiparametric regression is a statistical analysis method that consists of parametric and nonparametric regression. There are various approach techniques in nonparametric regression. One of the approach techniques is spline. Central Java is one of the most densely populated province in Indonesia. Population density in this province can be modeled by semiparametric regression because it consists of parametric and nonparametric component. Therefore, the purpose of this paper is to determine the factors that in uence population density in Central Java using the semiparametric spline regression model. The result shows that the factors which in uence population density in Central Java is Family Planning (FP) active participants and district minimum wage.