Logo do repositório
Comunidades e Coleções
Todo o repositório
Sobre
English
العربية
বাংলা
Català
Čeština
Deutsch
Ελληνικά
Español
Suomi
Français
Gàidhlig
ગુજરાતી
हिंदी
Magyar
Italiano
Қазақ
Latviešu
मराठी
Nederlands
Polski
Português
Português do Brasil
Русский
Srpski (lat)
Српски
Svenska
Türkçe
Yкраї́нська
Tiếng Việt
Esqueceu sua senha?
  1. Início
  2. Pesquisar por Data

Navegando por Data de Publicação, começando com "2009-03-18"

Filtrar resultados por ano ou mês
Agora exibindo 1 - 2 de 2
  • Resultados por página
  • Opções de Ordenação
  • Carregando...
    Imagem de Miniatura
    listelement.badge.dso-typeItem,
    A pedagogia do sexo em O Ateneu: o dispositivo de sexualidade no internato da "fina flor da mocidade brasileira"
    (Universidade Federal de São Carlos, 2009-03-18) Balieiro, Fernando de Figueiredo; Escudeiro, Richard Miskolci; https://lattes.cnpq.br/1623888309974862; https://lattes.cnpq.br/1754073430664136
  • Carregando...
    Imagem de Miniatura
    listelement.badge.dso-typeItem,
    Família Weibull de razão de chances na presença de covariáveis
    (Universidade Federal de São Carlos, 2009-03-18) Gomes, André Yoshizumi; Louzada Neto, Francisco; https://lattes.cnpq.br/0994050156415890; https://lattes.cnpq.br/0876304287501690
    The Weibull distribuition is a common initial choice for modeling data with monotone hazard rates. However, such distribution fails to provide a reasonable parametric _t when the hazard function is unimodal or bathtub-shaped. In this context, Cooray (2006) proposed a generalization of the Weibull family by considering the distributions of the odds of Weibull and inverse Weibull families, referred as the odd Weibull family which is not just useful for modeling unimodal and bathtub-shaped hazards, but it is also convenient for testing goodness-of-_t of Weibull and inverse Weibull as submodels. In this project we have systematically studied the odd Weibull family along with its properties, showing motivations for its utilization, inserting covariates in the model, pointing out some troubles associated with the maximum likelihood estimation and proposing interval estimation and hypothesis test construction methodologies for the model parameters. We have also compared resampling results with asymptotic ones. Coverage probability from proposed con_dence intervals and size and power of considered hypothesis tests were both analyzed as well via Monte Carlo simulation. Furthermore, we have proposed a Bayesian estimation methodology for the model parameters based in Monte Carlo Markov Chain (MCMC) simulation techniques.
Siga as redes sociais do SIBi
Contato

Repositório Institucional da UFSCar (RI UFSCar)

Av. Biblioteca Comunitária, Campus São Carlos

Rod. Washington Luís, km 235 - SP-310

São Carlos, SP, 13565-905 (16) 3351-8477

Email: repositorio@ufscar.br

Acessos ao repositorio.ufscar.br

DSpace software copyright © 2002-2026 LYRASIS

  • Acessibilidade
  • Política de Privacidade
  • Termos de Uso