Model Regresi Zero Inflated Poisson Pada Data Overdispersion

Authors : Wirajaya Kusuma; Mustika Hadijati; Desy Komalasari
article cite 12 Year 2013
source: DOAJ (DOAJ: Directory of Open Access Journals)
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


Concepts :
Educational Research and Methods
Mathematics Education and Pedagogy
Management and Optimization Techniques
article cite 12 Year 2013 source DOAJ (DOAJ: Directory of Open Access Journals)
SDGs
Quality Education
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2013 12