Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data

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 d...

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Main Authors: Sim, Shin Zhu, Gupta, Ramesh C., Ong, Seng Huat
Format: Article
Published: De Gruyter 2018
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Online Access:http://eprints.um.edu.my/20656/
https://doi.org/10.1515/ijb-2016-0070
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Institution: Universiti Malaya
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spelling my.um.eprints.206562019-03-12T01:25:36Z http://eprints.um.edu.my/20656/ Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data Sim, Shin Zhu Gupta, Ramesh C. Ong, Seng Huat Q Science (General) QA Mathematics 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. De Gruyter 2018 Article PeerReviewed 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 https://doi.org/10.1515/ijb-2016-0070 doi:10.1515/ijb-2016-0070
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Sim, Shin Zhu
Gupta, Ramesh C.
Ong, Seng Huat
Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
description 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.
format Article
author Sim, Shin Zhu
Gupta, Ramesh C.
Ong, Seng Huat
author_facet Sim, Shin Zhu
Gupta, Ramesh C.
Ong, Seng Huat
author_sort Sim, Shin Zhu
title Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
title_short Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
title_full Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
title_fullStr Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
title_full_unstemmed Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data
title_sort zero-inflated conway-maxwell poisson distribution to analyze discrete data
publisher De Gruyter
publishDate 2018
url http://eprints.um.edu.my/20656/
https://doi.org/10.1515/ijb-2016-0070
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