Theoretical and empirical comparison of two discrete statistical models of crash frequencies
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DOI:
https://doi.org/10.26637/mjm1004/003Abstract
In this paper, we compare two discrete statistical models for the evaluation of a road safety measure. We give a much simpler proof of the expression of the maximum likelihood estimator for the more complex model and we demonstrate theoretical results on the measure of divergence between the two models. The results obtained on real data suggest that both models are very competitive.
Keywords:
Statistical model, maximum likelihood, parameter estimation, road safety, Kullback-Leibler divergenceMathematics Subject Classification:
62F10, 62F30, 62H10, 62P99- Pages: 322-335
- Date Published: 01-10-2022
- Vol. 10 No. 04 (2022): Malaya Journal of Matematik (MJM)
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Copyright (c) 2023 Issa Cherif GERALDO, Tchilabalo Abozou KPANZOU
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