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Improved likelihood inference for the roughness parameter of the GA0 distribution
Author(s) -
da Silva Michel Ferreira,
CribariNeto Francisco,
Frery Alejandro C.
Publication year - 2008
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.881
Subject(s) - inference , focus (optics) , synthetic aperture radar , distribution (mathematics) , computer science , estimation theory , algorithm , point (geometry) , point estimation , mathematics , statistics , artificial intelligence , optics , physics , mathematical analysis , geometry
This paper presents adjusted profile likelihoods for α, the roughness parameter of the ${\cal G}_{A}^{0} (\alpha, \gamma, {\cal L})$ distribution. This distribution has been widely used in the modeling, processing and analysis of data corrupted by speckle noise, e.g., synthetic aperture radar images. Specifically, we consider the following modified profile likelihoods: (i) the one proposed by Cox and Reid, and (ii) approximations to adjusted profile likelihood proposed by Barndorff—Nielsen, namely the approximations proposed by Severini and one based on results by Fraser, Reid and Wu. We focus on point estimation and on signalized likelihood ratio tests, the parameter of interest being the roughness parameter that indexes the distribution. As far as point estimation is concerned, the numerical evidence presented in the paper favors the Cox and Reid adjustment, and in what concerns signalized likelihood ratio tests, the results favor the approximation to Barndorff7mdash;Nielsen's adjustment based on the results by Fraser, Reid and Wu. An application to real synthetic aperture radar imagery is presented and discussed. Copyright © 2007 John Wiley & Sons, Ltd.