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Wirajaya Kusuma
Universitas Bumigora
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Journal : Jurnal Matematika

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Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Model Regresi Zero Inflated Poisson Pada Data Overdispersion Wirajaya Kusuma; Desy Komalasari; Mustika Hadijati
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p37

Abstract

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
Co-Authors Abdul Rahim Aeko Fria Utama FR Agus Sofian Eka Hidayat Anna Apriana Hidayanti Anna Apriana Hidayanti Anwar Baehaki Syakbani Baiq Rika Ayu Febrilia Carina Firstca Utomo Carina Firstca Utomo Daniel Happy Putra Desy Komalasari Dewi Juliah Ratnaningsih Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Fadli Febrilia, Baiq Rika Ayu Firmansyah, Dodiy Gilang Primajati Gilang Primajati Hammad, Rifqi Haryono Haryono Husain Husain Irhamah - Istin Fitriana Aziza Jauhari, M. Thonthowi Kirti Verma M. Yusuf Mandalika, Eka Nurminda Dewi Mardedi, Lalu Zazuli Azhar Miswaty, Titik Ceriyani Muhammad Malthuf Mustika Hadijati Ni Made Nike Zeamita Widiyanti Ni Made Nike Zeamita Widiyanti Nur Iriawan Nursan, Muhammad Rifani Nur Sindy Setiawan Saparudin Efendi Sausan Nisrina Setiawan, Rifani Sindy Tervia Sirojul Hadi Siti Soraya Siti Soraya Sri Mulyawati Sutarman Sutarman Sutarman Sutarman Ulfiyani Asdiansyuri Wahyu Kamil Syarifaturrahman Wahyu Kamil Syarifaturrahman, Wahyu Kamil Widani Darma Isasih Wiwit Pura Nurmayanti Zainudin Abdussamad Zulfikri, Muhammad Zulkarnaen Zulkarnaen