Modeling of Maternal Mortality and Infant Mortality Cases in East Kalimantan using Poisson Regression Approach Based on Local Linear Estimator

1st International Conference on Environmental Geography and Geography Education

生态环境科学;地球科学

Darnah^1 ; Utoyo, M.I.^2 ; Chamidah, N.^2

Department of Mathematics, Faculty of Mathematics and Natural Science, Mulawarman University, Samarinda, Indonesia^1

Department of Mathematics, Faculty of Sciences and Technology, Airlangga University, Surabaya, Indonesia^2

关键词: Determination coefficients;    Infant mortality;    Local linear estimator;    Maternal mortality;    Non-parametric regression;    Nonparametric approaches;    Poisson regression;    Regression function;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/243/1/012023/pdf
DOI  :  10.1088/1755-1315/243/1/012023

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The Poisson regression is the popular regression model on the discrete response variables. The regression function in the Poisson regres-sion model can be estimate by using both the parametric and the nonparametric approaches. In this research, we study the Poisson regres-sion by using the nonparametric regression approach based on local linear estimator for modeling the maternal mortality and the infant mor-tality cases in East Kalimantan Indonesia. According to the model, we get that the model works nicely to explain the relationship between the maternal mortality case and the shaman number, and between the infant mortality case and the shaman number in East Kalimantan. Also, we obtain their determination coefficient (R2) values of 0.929094 and 0.9625168, respectively.