Detalhes bibliográficos
Ano de defesa: |
2015 |
Autor(a) principal: |
BARROS, Patrícia Silva Nascimento
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Orientador(a): |
OLIVEIRA JUNIOR, Wilson Rosa de |
Banca de defesa: |
FERREIRA, Tiago Alessandro Espíndola,
SILVA, Frank Sinatra Gomes da |
Tipo de documento: |
Tese
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Biometria e Estatística Aplicada
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Departamento: |
Departamento de Estatística e Informática
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País: |
Brasil
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5240
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Resumo: |
The Weibull distribution is very popular to model survival data. Many modi cations of the Weibull distribution have been proposed in recent years. Inspired by the notion of generalized gamma-generated family of distribution of Zografos e Balakrishnan, the Generalized Weibull Distributions Class is proposed. A comprehensive treatment of the mathematical properties of some new distribution is provided, expressions giving for the distribution function, density function, hazard function, moment generating function, characteristic function, mean, variance, skewness and kurtosis. Real data sets were modeled showing best ts, according the chosen criteria, were obtained by the new models. Thus for the Generalized Weibull Distributions Class, in spite of having more parameters to be estimated, the algorithms were able to best adjust the survival analysis data. |