Estimation of lacunarity using gamma regression model

Detalhes bibliográficos
Autor(a) principal: Lucena, Leandro Ricardo Rodrigues de
Data de Publicação: 2019
Outros Autores: Xavier Júnior, Silvio Fernando Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950
Resumo: In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates.
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spelling Estimation of lacunarity using gamma regression modellacunarity; gamma model; fractal.In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates.Universidade Estadual De Maringá2019-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4195010.4025/actascitechnol.v42i1.41950Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e41950Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e419501806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950/751375148492Copyright (c) 2019 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLucena, Leandro Ricardo Rodrigues deXavier Júnior, Silvio Fernando Alves2020-05-05T15:19:27Zoai:periodicos.uem.br/ojs:article/41950Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-05-05T15:19:27Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Estimation of lacunarity using gamma regression model
title Estimation of lacunarity using gamma regression model
spellingShingle Estimation of lacunarity using gamma regression model
Lucena, Leandro Ricardo Rodrigues de
lacunarity; gamma model; fractal.
title_short Estimation of lacunarity using gamma regression model
title_full Estimation of lacunarity using gamma regression model
title_fullStr Estimation of lacunarity using gamma regression model
title_full_unstemmed Estimation of lacunarity using gamma regression model
title_sort Estimation of lacunarity using gamma regression model
author Lucena, Leandro Ricardo Rodrigues de
author_facet Lucena, Leandro Ricardo Rodrigues de
Xavier Júnior, Silvio Fernando Alves
author_role author
author2 Xavier Júnior, Silvio Fernando Alves
author2_role author
dc.contributor.author.fl_str_mv Lucena, Leandro Ricardo Rodrigues de
Xavier Júnior, Silvio Fernando Alves
dc.subject.por.fl_str_mv lacunarity; gamma model; fractal.
topic lacunarity; gamma model; fractal.
description In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950
10.4025/actascitechnol.v42i1.41950
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950
identifier_str_mv 10.4025/actascitechnol.v42i1.41950
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950/751375148492
dc.rights.driver.fl_str_mv Copyright (c) 2019 Acta Scientiarum. Technology
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Acta Scientiarum. Technology
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e41950
Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e41950
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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