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NEGATIVE BINOMIAL REGRESSION METHODS TO ANALYZE FACTORS AFFECTING CHILD MORTALITY RATES IN WEST JAVA
Data on the number of child mortality cases are discrete data (count) which are usually analyzed with Poisson regression. The characteristics of the Poisson regression mean and variance must be the same, whereas in fact the count data is often becoming variance greater than the mean, which is often referred to overdispersion. To deal with the problem over dispersion, modelling can be done with Negative Binomial Regression because it does not require the mean value equal to the value of variance. Model Negative Binomial produces Deviance/Degree Freely value of 1.6347 and Pearson Chi-Square of 1.4569. This value goes to 1, its means that overdispersion problem was sloved. Key Word: child mortality rates; Negative Binomial Regression, overdisversion
Faculty of Mathematics and Sciences Yogyakarta State University
Proceeding of International Conference On Research, Implementation And Education Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015
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