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Dominique Lord

Showing results (31-40 of 70) with videos related to

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Accident; Analysis and Prevention|July 4, 2014
Finite mixture modeling for vehicle crash data with application to hotspot identificationByung-Jung Park, Dominique Lord, Chungwon Lee
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 24, 2010
Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersionDominique Lord, Srinivas Reddy Geedipally, Seth D Guikema
Accident; Analysis and Prevention|July 9, 2008
Predicting motor vehicle crashes using Support Vector Machine modelsXiugang Li, Dominique Lord, Yunlong Zhang, et al.
Accident; Analysis and Prevention|March 9, 2026
Determinants of bicyclist injury severity in vehicle-bicycle crashes: Model specification and the assessment of temporal and age effectsNawaf Alnawmasi, Richard Dzinyela, Dominique Lord, et al.
Accident; Analysis and Prevention|January 25, 2012
The negative binomial-Lindley generalized linear model: characteristics and application using crash dataSrinivas Reddy Geedipally, Dominique Lord, Soma Sekhar Dhavala
Accident; Analysis and Prevention|December 21, 2004
Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theoryDominique Lord, Simon P Washington, John N Ivan
Accident; Analysis and Prevention|May 8, 2008
Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashesDominique Lord, Seth D Guikema, Srinivas Reddy Geedipally
Accident; Analysis and Prevention|July 31, 2024
The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash dataRichard Dzinyela, Mohammadali Shirazi, Subasish Das, et al.
Accident; Analysis and Prevention|February 18, 2010
Bias properties of Bayesian statistics in finite mixture of negative binomial regression models in crash data analysisByung-Jung Park, Dominique Lord, Jeffrey D Hart
Plos One|May 24, 2018
A semi-nonparametric Poisson regression model for analyzing motor vehicle crash dataXin Ye, Ke Wang, Yajie Zou, et al.
Pageof 7

Showing results (31-40 of 70) with videos related to

Sort By:
Pageof 7
Accident; Analysis and Prevention|July 4, 2014
Finite mixture modeling for vehicle crash data with application to hotspot identificationByung-Jung Park, Dominique Lord, Chungwon Lee
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 24, 2010
Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersionDominique Lord, Srinivas Reddy Geedipally, Seth D Guikema
Accident; Analysis and Prevention|July 9, 2008
Predicting motor vehicle crashes using Support Vector Machine modelsXiugang Li, Dominique Lord, Yunlong Zhang, et al.
Accident; Analysis and Prevention|March 9, 2026
Determinants of bicyclist injury severity in vehicle-bicycle crashes: Model specification and the assessment of temporal and age effectsNawaf Alnawmasi, Richard Dzinyela, Dominique Lord, et al.
Accident; Analysis and Prevention|January 25, 2012
The negative binomial-Lindley generalized linear model: characteristics and application using crash dataSrinivas Reddy Geedipally, Dominique Lord, Soma Sekhar Dhavala
Accident; Analysis and Prevention|December 21, 2004
Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theoryDominique Lord, Simon P Washington, John N Ivan
Accident; Analysis and Prevention|May 8, 2008
Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashesDominique Lord, Seth D Guikema, Srinivas Reddy Geedipally
Accident; Analysis and Prevention|July 31, 2024
The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash dataRichard Dzinyela, Mohammadali Shirazi, Subasish Das, et al.
Accident; Analysis and Prevention|February 18, 2010
Bias properties of Bayesian statistics in finite mixture of negative binomial regression models in crash data analysisByung-Jung Park, Dominique Lord, Jeffrey D Hart
Plos One|May 24, 2018
A semi-nonparametric Poisson regression model for analyzing motor vehicle crash dataXin Ye, Ke Wang, Yajie Zou, et al.
Pageof 7