Results 161 to 170 of about 2,674 (172)

Comparison of Poisson, Negative Binomial and Poisson-Lognormal Regression Models With Application on Traffic Road Accident Count Data of Bauchi State

BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE
Road Traffic Crash has been a serious problem on major roads in Nigeria. Different models have been used to predict accident on these roads but no unique model has been arrived at. In this article, three statistical models: Poisson Regression, Negative Binomial and the Poisson Lognormal were compared to determine the best fit on the road accident data ...
Ofunu , Ben Esther, Abdulkadir, S.S., Abdulkadir , Ahmed   +2 more
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Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: Comparing the precision of crash frequency estimates

Accident Analysis & Prevention, 2013
In recent years, complex statistical modeling approaches have being proposed to handle the unobserved heterogeneity and the excess of zeros frequently found in crash data, including random effects and zero inflated models. This research compares random effects, zero inflated, and zero inflated random effects models using a full Bayes hierarchical ...
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Mixtures of contaminated multivariate Poisson-lognormal models

2023
openaire   +1 more source

Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model

Structure and Infrastructure Engineering, 2021
Xiangrong Wang, Fujian Tang
exaly  

Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways

Accident Analysis and Prevention, 2017
Nalini Ravishanker, John Ivan, Eric Jackson   +2 more
exaly  

Investigation of time and weather effects on crash types using full Bayesian multivariate Poisson lognormal models

Accident Analysis and Prevention, 2014
Karim El-Basyouny, Sudip Barua, Md Tazul Islam   +2 more
exaly  

Predicting crash frequency for multi-vehicle collision types using multivariate Poisson-lognormal spatial model: A comparative analysis

Accident Analysis and Prevention, 2018
Mehdi Hosseinpour, Noriszura Ismail, Sina Sahebi   +2 more
exaly  

Poisson-Lognormal Mixed Model Based Estimation in Clustered Longitudinal Count Data Analysis

2016
Poisson mixed models are useful for accommodating the overdispersion and correlations often observed among count data. These models are generated from the well-known independent Poisson model by adding normally distributed random effects to the linear predictor, and they are known as Poisson-log-normal mixed models.
openaire   +1 more source

Bayesian Analysis of Poisson Regression with Lognormal Unobserved Heterogeneity: With an Application to the Patent-R&D Relationship

Communications in Statistics - Theory and Methods, 2010
Efthymios G Tsionas
exaly  

Modelling Three-Way RNA Sequencing Data with Mixture of Multivariate Poisson-Lognormal Distribution

2021
Scharl, Theresa, Grün, Bettina
openaire   +1 more source