Modeling of HIV and AIDS in Indonesia Using Bivariate Negative Binomial Regression

9th Annual Basic Science International Conference 2019

自然科学（总论）

Tohari, Amin^1 ; Chamidah, Nur^2 ; Fatmawati^2

Faculty of Sciences and Technology, Airlangga University, Indonesia^1

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

关键词: Bivariate;    Count datum;    Goodness-of-fit test;    Indonesia;    Negative binomial distribution;    Negative binomial regression;    Regression method;    Secondary datum;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/5/052079/pdf
DOI  :  10.1088/1757-899X/546/5/052079

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

The problem of HIV and AIDS in Indonesia is a frightening health problem with a number of cases that tend to increase each year. The aim of this research is to model the number of HIV and AIDS cases in Indonesia using bivariate negative binomial regression approach. Bivariate negative binomial regression is a regression method for modeling a pair of response variables in the form of count data with negative binomial distribution and correlating to each other. This research uses secondary data from the ministry of health in 2017 about the number of HIV and AIDS cases in Indonesia. From the results of this research, we obtained the deviance value of 38.9197 which was used to describe the goodness of fit test.