DocumentCode
2972075
Title
Hurdle strict arcsine model
Author
Ngor, Phang Yook ; Fu, Loh Er
Author_Institution
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Bandaraya, Malaysia
fYear
2012
fDate
24-27 June 2012
Firstpage
1381
Lastpage
1384
Abstract
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.
Keywords
Poisson distribution; binomial distribution; maximum likelihood estimation; Poisson distributions; arcsine model; discrete distributions; finite mixture model; hurdle model; maximum likelihood estimation method; negative binomial distributions; Computational modeling; Data models; Econometrics; Mathematical model; Maximum likelihood estimation; Medical services; count data; maximum likelihood estimation method; mixture model; truncated distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Humanities, Science and Engineering Research (SHUSER), 2012 IEEE Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-1311-7
Type
conf
DOI
10.1109/SHUSER.2012.6268820
Filename
6268820
Link To Document