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REPORTING MONTE CARLO EXPERIENCES
IN STATISTICS: SUGGESTIONS AND AN EXAMPLE

Oscar H. Bustos

Facultad de Matemática, Astronomía y Física
Universidad Nacional de Córdoba
Ing. Medina Allende esq. Haya de la Torre
Ciudad Universitaria
5000 Córdoba, Argentina
obuf@smimaf.edu.ar

Alejandro C. Frery

Instituto Nacional de Pesquisas Espaciais
Divisão de Processamento de Imagens
Avenida dos Astronautas, 1758
12227-010 São José dos Campos, SP, Brazil
frery@dpi.inpe.br

Summary:

The minimal content of every report about statistical results obtained by stochastic simulation are suggested. A manner to present these results is shown. This is applied to a Monte Carlo experience designed to compare estimation procedures of the parameter of a Rayleigh distribution, a problem often encountered in synthetic aperture radar image processing.

Key Words: estimation, Monte Carlo methods, robustness, SAR image processing, stochastic simulation.





Alejandro C. Frery: frery@di.ufpe.br