Sim, Shin Zhu and Gupta, Ramesh C. and Ong, Seng Huat (2018) Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data. The International Journal of Biostatistics, 14 (1). p. 20160070. ISSN 1557-4679, DOI https://doi.org/10.1515/ijb-2016-0070.
Full text not available from this repository.Abstract
In this paper, we study the zero-inflated Conway-Maxwell Poisson (ZICMP) distribution and develop a regression model. Score and likelihood ratio tests are also implemented for testing the inflation/deflation parameter. Simulation studies are carried out to examine the performance of these tests. A data example is presented to illustrate the concepts. In this example, the proposed model is compared to the well-known zero-inflated Poisson (ZIP) and the zero-inflated generalized Poisson (ZIGP) regression models. It is shown that the fit by ZICMP is comparable or better than these models.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia [FP045-2015A], University of Malaya’s Research Grant Scheme [RP009A-13AFR] |
| Uncontrolled Keywords: | zero-inflation/deflation; structural zeros; Poisson; generalized Poisson; regression; score and likelihood ratio tests; over and under-dispersion |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
| Divisions: | Faculty of Science > Institute of Mathematical Sciences |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 12 Mar 2019 01:25 |
| Last Modified: | 12 Mar 2019 01:25 |
| URI: | http://eprints.um.edu.my/id/eprint/20656 |
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