This study focused on the Poisson regression with excess zero outcomes on the response variable. A generalized linear modelling technique such as Poisson regression model and Negative Binomial model was found to be insignificant in explaining and handle over dispersion which due to high amount of zeros thus Zero Inflated model was introduced to overcome the problem. The application work on the number of road accidents on F001 Jalan Jb – Air Hitam. Data on road accident were collected for five-year period from 2010 through 2014. The result from analysis show that ZINB model performed best, in terms of the comparative criteria based on the P value less than 0.05
Abstract Road traffic crashes are count discrete in nature. When modeling discrete data for charact...
Abstract: The generalized Poisson regression model has been used to model dispersed count data. It i...
Regression analysis is used to determine relationship between one or several response variable (Y) w...
According to The World Health Ranking 2011 has ranked Malaysia as 20th in its list of countries with...
AbstractThis study focused on pedestrian crashes occurred in a 543-km sample of Malaysia federal roa...
Zero-inflated count models are increasingly employed in many fields in case of zero-inflation . In ...
Zero-inflated count models are increasingly employed in many fields in case of zero-inflation . In ...
In recent years, numerous researches have been carried out with purpose of predicting motor ve-hicle...
There has been considerable research conducted over the last 20 years focused on predicting motor ve...
This paper provides an insight and comparison of the Poisson model and Poisson-Gamma model (also kno...
Abstract: This paper addresses the Zero-inflated Poisson (ZIP) regression model as an effective way ...
In this paper we have considered several regression models to fit the count data that encounter in t...
Poisson regression model has been widely used for modeling claim count data in actuarial and insuran...
As crash data have distinctive behavior like over-dispersion, researchers have used statistical meth...
In the modern era, Road accident prediction models are priceless tools that have valuable applicatio...
Abstract Road traffic crashes are count discrete in nature. When modeling discrete data for charact...
Abstract: The generalized Poisson regression model has been used to model dispersed count data. It i...
Regression analysis is used to determine relationship between one or several response variable (Y) w...
According to The World Health Ranking 2011 has ranked Malaysia as 20th in its list of countries with...
AbstractThis study focused on pedestrian crashes occurred in a 543-km sample of Malaysia federal roa...
Zero-inflated count models are increasingly employed in many fields in case of zero-inflation . In ...
Zero-inflated count models are increasingly employed in many fields in case of zero-inflation . In ...
In recent years, numerous researches have been carried out with purpose of predicting motor ve-hicle...
There has been considerable research conducted over the last 20 years focused on predicting motor ve...
This paper provides an insight and comparison of the Poisson model and Poisson-Gamma model (also kno...
Abstract: This paper addresses the Zero-inflated Poisson (ZIP) regression model as an effective way ...
In this paper we have considered several regression models to fit the count data that encounter in t...
Poisson regression model has been widely used for modeling claim count data in actuarial and insuran...
As crash data have distinctive behavior like over-dispersion, researchers have used statistical meth...
In the modern era, Road accident prediction models are priceless tools that have valuable applicatio...
Abstract Road traffic crashes are count discrete in nature. When modeling discrete data for charact...
Abstract: The generalized Poisson regression model has been used to model dispersed count data. It i...
Regression analysis is used to determine relationship between one or several response variable (Y) w...