A MM algorithm for constrained estimation in a road safety measure modelling

Assi N'Guessan (1) , Abdallah Mkhadri (2) , Bezza Hafidi (3)

1 EPU, dept. GIS
2 Dept. Maths
3 Université Inb Zohr

We model the effect of a road safety measure on a set of target sites with a control area for each site, and we suppose that the accident data recorded at each site are classified in different mutually exclusive types. In this paper, we propose an MM algorithm for obtaining the constrained maximum likelihood estimates of the parameter vector. We compare it with a GP-EM algorithm, based on gradient projections. The performance of the algorithms is examined through a simulation study of road safety data.

Mots clés: Physical Sciences

Assi N'Guessan, Abdallah Mkhadri, Bezza Hafidi. A MM algorithm for constrained estimation in a road safety measure modelling. Communications in Statistics - Simulation and Computation, 2010, 39 (05), pp.1057-1071. ⟨10.1080/03610911003778119⟩. ⟨hal-00591696⟩