Parameters Estimation of Geographically Weighted Ordinal Logistic Regression (GWOLR) Model

International Conference on Mathematics: Education, Theory and Application

数学;教育

Zuhdi, Shaifudin^1 ; Sari Saputro, Dewi Retno^1 ; Widyaningsih, Purnami^1

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

关键词: Dependent variables;    Geographical locations;    Independent variables;    Logistic Regression modeling;    Logistics regressions;    Ordinal logistic regression;    Parameters estimation;    Regression model;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/855/1/012064/pdf
DOI  :  10.1088/1742-6596/855/1/012064

学科分类：发展心理学和教育心理学

来源: IOP

【 摘 要 】

A regression model is the representation of relationship between independent variable and dependent variable. The dependent variable has categories used in the logistic regression model to calculate odds on. The logistic regression model for dependent variable has levels in the logistics regression model is ordinal. GWOLR model is an ordinal logistic regression model influenced the geographical location of the observation site. Parameters estimation in the model needed to determine the value of a population based on sample. The purpose of this research is to parameters estimation of GWOLR model using R software. Parameter estimation uses the data amount of dengue fever patients in Semarang City. Observation units used are 144 villages in Semarang City. The results of research get GWOLR model locally for each village and to know probability of number dengue fever patient categories.