Model Regresi Zero Inflated Poisson Pada Data Overdispersion

Autor:	Wirajaya Kusuma, Desy Komalasari, Mustika Hadijati
Jazyk:	English<br />Indonesian
Rok vydání:	2013
Předmět:	Zero Inflated Poisson Overdispersion Maximization Expectation Newton Rhapson unsuccessful students SMA/SMK Mathematics QA1-939
Zdroj:	Jurnal Matematika, Vol 3, Iss 2, Pp 71-85 (2013)
Druh dokumentu:	article
ISSN:	1693-1394 93440324
DOI:	10.24843/JMAT.2013.v03.i02.p37
Popis:	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
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/22fcd93440324186b9ae6a7c79da0783 Zobrazit plný text záznamu View record in DOAJ