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		<citationkey>SilvaCribFrer:2007:ImInGA</citationkey>
		<title>Improved Inference for the GA0 Distribution</title>
		<format>On-line</format>
		<year>2007</year>
		<date>Oct. 7-10, 2007</date>
		<numberoffiles>1</numberoffiles>
		<size>33 Kbytes</size>
		<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>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<tertiarytype>Technical Poster</tertiarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<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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