Hurdle strict arcsine model

The hurdle model is a finite mixture model where the zeros are generated by a particular distribution while the positive counts are generated by another (truncated) distribution. The discrete distributions commonly considered for hurdle models are the Poisson and negative binomial distributions. The...

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Bibliographic Details
Published in2012 IEEE Symposium on Humanities, Science and Engineering Research pp. 1381 - 1384
Main Authors Ngor, P. Y., Fu, L. E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2012
Subjects
Computational modeling
count data
Data models
Econometrics
Mathematical model
Maximum likelihood estimation
maximum likelihood estimation method
Medical services
mixture model
truncated distribution
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Summary:The hurdle model is a finite mixture model where the zeros are generated by a particular distribution while the positive counts are generated by another (truncated) distribution. The discrete distributions commonly considered for hurdle models are the Poisson and negative binomial distributions. The hurdle models are also widely used for over- and under-dispersed count data. In this study, a new hurdle model, which is hurdle strict arcsine model is developed and fitted to two simulated data sets. Maximum likelihood estimation method is used in estimating the parameters.
ISBN:9781467313117
1467313114
ISSN:2378-9808
DOI:10.1109/SHUSER.2012.6268820