Bayesian Finite Mixture Negative Binomial Model for Over-dispersed Count Data with Application to DMFT Index Data
نویسندگان
چکیده
منابع مشابه
Estimation of Count Data using Bivariate Negative Binomial Regression Models
Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...
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ژورنال
عنوان ژورنال: International Journal of Data Science and Analysis
سال: 2019
ISSN: 2575-1883
DOI: 10.11648/j.ijdsa.20190505.15