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		<citationkey>SilvaCribFrer:2007:ImInGA</citationkey>
		<author>Silva, Michel Ferreira da,</author>
		<author>Cribari-Neto, Francisco,</author>
		<author>Frery, Alejandro,</author>
		<affiliation>Universidade Federal de Minas Gerais</affiliation>
		<affiliation>Universidade Federal de Pernambuco</affiliation>
		<affiliation>Universidade Federal de Alagoas</affiliation>
		<title>Improved Inference for the GA0 Distribution</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>adjusted profile likelihoods, GA0 distribution, maximum likelihood estimation, roughness parameter, SAR images, signalized likelihood ratio test.</keywords>
		<abstract>This paper presents adjusted profile likelihoods for alpha, the roughness parameter of GA0(alpha, gamma, L) distribution. This distribution has been widely used in the modelling of data corrupted by speckle noise (SAR images). We focus on point estimation and on signalized likelihood ratio tests. As far as point estimation is concerned, the numerical evidence presented in the paper favors the Cox and Reid's adjustment (1987), and in what concerns signalized likelihood ratio tests, the results favor the approximation to Barndorff-Nielsen's adjustment based on the results in Fraser and Reid (1995). An application to real synthetic aperture radar imagery is presented.</abstract>
		<language>en</language>
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