{"title":"Hurdle strict arcsine model","authors":"Phang Yook Ngor, Loh Er Fu","doi":"10.1109/SHUSER.2012.6268820","DOIUrl":null,"url":null,"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.","PeriodicalId":426671,"journal":{"name":"2012 IEEE Symposium on Humanities, Science and Engineering Research","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Humanities, Science and Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHUSER.2012.6268820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.
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