scholarly journals Les Déterminants de la Localisation des Activités Industriels dans la Wilaya de Boumerdès : Approche Économétrique avec Modèle de Comptage = The Determinants of Industrial Activities Location in the Province of Boumerdes : Econometric Approach with Count Data Model

2016 ◽  
pp. 101-110
Author(s):  
Brahim Djemaci ◽  
Nacira Chikh ◽  
Djouher Romane
Keyword(s):  
Count Data ◽  
Data Model ◽  
Count Data Model ◽  
Industrial Activities ◽  
Econometric Approach

A New Multivariate Count Data Model to Study Multi-Category Physician Prescription Behavior

2011 ◽  
Author(s):  
Xiaojing Dong ◽  
Pradeep K. Chintagunta ◽  
Puneet Manchanda
Keyword(s):  
Count Data ◽  
Data Model ◽  
Count Data Model ◽  
Prescription Behavior

scholarly journals Analysis of Road Traffic Accidents in the Punjab by Using Panel Count Data Models

2021 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Muhammad Anus Hayat Khan ◽  
Ijaz Hussain
Keyword(s):  
Count Data ◽  
Data Model ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Data Models ◽  
Panel Count Data ◽  
Road Traffic Accidents ◽  
Count Data Models ◽  
Count Data Model

Each year more than three thousand people die and get serious injuries in traffic accidents. Count data model provide more precise tools for planners and decision makers to conduct proactive road safety planning.We analyzed the exploratory research of Road Traffic Accidents (RTAs) and furthermore explores the factors affecting the RTAs frequency in 36 districts of the Punjab over a time period of three years (July 1, 2013 June 30, 2016) with monthly data using panel count data models. Among the models considered, the random parameters Poisson panel count data model is found to fit the data best. The exploratory analysis shows that highly dense populated districts with large number of registered vehicles causes more accidents as compared to low density populated districts. It is found that, most of the variables used to control the variation in the frequency of RTAs counts play vital role with higher significance levels. The application of regression analysis and modeling of RTAs at district level in Punjab will help to identification of districts with high RTAs rates and this could help more efficient road safety management in the Punjab.

scholarly journals A count data model with endogenous covariates: Formulation and application to roadway crash frequency at intersections

2014 ◽  
Vol 1 ◽  
pp. 53-71 ◽  
Author(s):  
Chandra R. Bhat ◽  
Kathryn Born ◽  
Raghuprasad Sidharthan ◽  
Prerna C. Bhat
Keyword(s):  
Count Data ◽  
Data Model ◽  
Crash Frequency ◽  
Count Data Model ◽  
Endogenous Covariates

Interpreting the reverse multinomial logit as a count data model

1990 ◽  
Vol 12 (2) ◽  
pp. 173-178
Author(s):  
Daniel Hellerstein
Keyword(s):  
Count Data ◽  
Data Model ◽  
Multinomial Logit ◽  
Count Data Model
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