An estimation method of the average effect and the different accident risks when modelling a road safety measure: A simulation study

DOI10.1016/j.csda.2005.09.002zbMath1157.62525OpenAlexW2089599647MaRDI QIDQ1010466

Assi N'Guessan, Azeddine Essai, Modeste N'zi

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.09.002

zbMATH Keywords

simulationmean square errormultinomial modelconstrained maximum likelihoodroad safety measureaccident dataaccident riskbefore-after estimation

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Applications of statistics (62P99) Estimation in survival analysis and censored data (62N02)

Related Items (4)

A fast and efficient estimation of the parameters of a model of accident frequencies via an MM algorithm ⋮ Impact of a road safety layout on the severity of crashes ⋮ On the maximum likelihood estimator for a discrete multivariate crash frequencies model ⋮ Analytical existence of solutions to a system of nonlinear equations with application

Cites Work

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• The Lagrangian Multiplier Test
• Maximum-Likelihood Estimation of Parameters Subject to Restraints
• A covariance components estimation procedure when modelling a road safety measure in terms of linear constraints
• Distributions of ratios of random variables from the power-quadratic exponential family and applications
• Maximum Likelihood Methods for Log-Linear Models When Expected Frequencies are Subjected to Linear Constraints

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