Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeySilvaCribFrer:2007:ImInGA
TitleImproved Inference for the GA0 Distribution
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size33 KiB
Context area
Author1 Silva, Michel Ferreira da
2 Cribari-Neto, Francisco
3 Frery, Alejandro
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Pernambuco
3 Universidade Federal de Alagoas
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:45 :: -> administrator ::
2009-08-13 20:38:45 :: administrator -> banon ::
2010-08-28 20:02:32 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsadjusted profile likelihoods, GA0 distribution, maximum likelihood estimation, roughness parameter, SAR images, signalized likelihood ratio test.
AbstractThis 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.
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Target File33925.pdf
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