Modified zero inflated poisson regression analysis and its application to public health data
This paper focuses on the programming of zero inflated Poisson regression (ZIPR) with combination of fuzzy regression method through SAS algorithm. This alternative method can be used as a tool of data analysis in various branches of science that include biostatistics, biometry. The method comprises...
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iium-754532019-11-14T03:01:38Z http://irep.iium.edu.my/75453/ Modified zero inflated poisson regression analysis and its application to public health data Wan Ahmad, Wan Muhamad Amir Zafakali, Nur Syabiha Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq Hasan, Ruhaya Mokhtar, Kasypi QA276 Mathematical Statistics This paper focuses on the programming of zero inflated Poisson regression (ZIPR) with combination of fuzzy regression method through SAS algorithm. This alternative method can be used as a tool of data analysis in various branches of science that include biostatistics, biometry. The method comprises of bootstrapping and nonlinear minimization programming through fuzzy linear regression modeling based on the dependent outcome of zero-inflated Poisson regression with several independent variables. Pushpa Publishing House 2019-03 Article PeerReviewed application/pdf en cc_by http://irep.iium.edu.my/75453/1/PUSHPAPublishing_2019.pdf Wan Ahmad, Wan Muhamad Amir and Zafakali, Nur Syabiha and Aleng, Nor Azlida and Mohd Ibrahim, Mohamad Shafiq and Hasan, Ruhaya and Mokhtar, Kasypi (2019) Modified zero inflated poisson regression analysis and its application to public health data. Advances and Applications in Statistics, 55 (1). pp. 1-18. ISSN 0972-3617 http://www.pphmj.com/abstract/12440.htm 10.17654/AS055010001 |
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QA276 Mathematical Statistics |
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QA276 Mathematical Statistics Wan Ahmad, Wan Muhamad Amir Zafakali, Nur Syabiha Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq Hasan, Ruhaya Mokhtar, Kasypi Modified zero inflated poisson regression analysis and its application to public health data |
description |
This paper focuses on the programming of zero inflated Poisson regression (ZIPR) with combination of fuzzy regression method through SAS algorithm. This alternative method can be used as a tool of data analysis in various branches of science that include biostatistics, biometry. The method comprises of bootstrapping and nonlinear minimization programming through fuzzy linear regression modeling based on the dependent outcome of zero-inflated Poisson regression with several independent variables. |
format |
Article |
author |
Wan Ahmad, Wan Muhamad Amir Zafakali, Nur Syabiha Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq Hasan, Ruhaya Mokhtar, Kasypi |
author_facet |
Wan Ahmad, Wan Muhamad Amir Zafakali, Nur Syabiha Aleng, Nor Azlida Mohd Ibrahim, Mohamad Shafiq Hasan, Ruhaya Mokhtar, Kasypi |
author_sort |
Wan Ahmad, Wan Muhamad Amir |
title |
Modified zero inflated poisson regression analysis and its application to public health data |
title_short |
Modified zero inflated poisson regression analysis and its application to public health data |
title_full |
Modified zero inflated poisson regression analysis and its application to public health data |
title_fullStr |
Modified zero inflated poisson regression analysis and its application to public health data |
title_full_unstemmed |
Modified zero inflated poisson regression analysis and its application to public health data |
title_sort |
modified zero inflated poisson regression analysis and its application to public health data |
publisher |
Pushpa Publishing House |
publishDate |
2019 |
url |
http://irep.iium.edu.my/75453/ http://irep.iium.edu.my/75453/ http://irep.iium.edu.my/75453/ http://irep.iium.edu.my/75453/1/PUSHPAPublishing_2019.pdf |
first_indexed |
2023-09-18T21:46:46Z |
last_indexed |
2023-09-18T21:46:46Z |
_version_ |
1777413501919166464 |