Application of Semiparametric Spline Regression Model in Analyzing Factors that Influence Population Density in Central Java']Java

被引:0
|
作者
Sumantari, Y. D. [1 ]
Slamet, I. [2 ]
Sugiyanto [2 ]
机构
[1] Univ Sabelas Maret, Dept Math, Fac Math & Nat Sci, Surakarta, Indonesia
[2] Univ Sabelas Maret, Dept Stat, Fac Math & Nat Sci, Surakarta, Indonesia
关键词
D O I
10.1088/1742-6596/855/1/012049
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
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 influence population density in Central Java using the semiparametric spline regression model. The result shows that the factors which influence population density in Central Java is Family Planning (FP) active participants and district minimum wage.
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页数:8
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