Model Regresi Zero Inflated Poisson Pada Data Overdispersion
Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros...
Ausführliche Beschreibung
Autor*in: |
Wirajaya Kusuma [verfasserIn] Desy Komalasari [verfasserIn] Mustika Hadijati [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch ; Indonesisch |
Erschienen: |
2013 |
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Übergeordnetes Werk: |
In: Jurnal Matematika - Universitas Udayana, 2016, 3(2013), 2, Seite 71-85 |
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Übergeordnetes Werk: |
volume:3 ; year:2013 ; number:2 ; pages:71-85 |
Links: |
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DOI / URN: |
10.24843/JMAT.2013.v03.i02.p37 |
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10.24843/JMAT.2013.v03.i02.p37 doi (DE-627)DOAJ001250337 (DE-599)DOAJ22fcd93440324186b9ae6a7c79da0783 DE-627 ger DE-627 rakwb eng ind QA1-939 Wirajaya Kusuma verfasserin aut Model Regresi Zero Inflated Poisson Pada Data Overdispersion 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach. Zero inflated Poisson regression model obtained on the data is: dan With is school accreditation; and is the proportion of teachers who are already certified Zero Inflated Poisson Overdispersion Maximization Expectation Newton Rhapson unsuccessful students SMA/SMK Mathematics Desy Komalasari verfasserin aut Mustika Hadijati verfasserin aut In Jurnal Matematika Universitas Udayana, 2016 3(2013), 2, Seite 71-85 (DE-627)1760632406 26550016 nnns volume:3 year:2013 number:2 pages:71-85 https://doi.org/10.24843/JMAT.2013.v03.i02.p37 kostenfrei https://doaj.org/article/22fcd93440324186b9ae6a7c79da0783 kostenfrei https://ojs.unud.ac.id/index.php/jmat/article/view/16570 kostenfrei https://doaj.org/toc/1693-1394 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 3 2013 2 71-85 |
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Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach. Zero inflated Poisson regression model obtained on the data is: dan With is school accreditation; and is the proportion of teachers who are already certified |
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Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be used to overcome problems due to excess zeros. The purpose of this research is to estimate the regression parameters model Zero -inflated Poisson (ZIP) and applying to the data of unsuccessful students in national examinations in senior high school and vocational school in the city of Mataram. Parameter estimation Zero inflated Poisson regression model using the maximum likelihood and maximization expectation algorithm with Newton Rhapson approach. Zero inflated Poisson regression model obtained on the data is: dan With is school accreditation; and is the proportion of teachers who are already certified |
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