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Author (up) Santos-Neto, M.; Cysneiros, F.J.A.; Leiva, V.; Barros, M. pdf  doi
  Title Reparameterized Birnbaum-Saunders regression models with varying precision Type
  Year 2016 Publication Electronic Journal Of Statistics Abbreviated Journal Electron. J. Stat.  
  Volume 10 Issue 2 Pages 2825-2855  
  Keywords Birnbaum-Saunders distribution; hypothesis testing; likelihood-based methods; local influence; Monte Carlo simulation; residuals; R software  
  Abstract We propose a methodology based on a reparameterized Birnbaum-Saunders regression model with varying precision, which generalizes the existing works in the literature on the topic. This methodology includes the estimation of model parameters, hypothesis tests for the precision parameter, a residual analysis and influence diagnostic tools. Simulation studies are conducted to evaluate its performance. We apply it to two real-world case-studies to show its potential with the R software.  
  Address [Santos-Neto, Manoel; Barros, Michelli] Univ Fed Campina Grande, Dept Stat, Campina Grande, Brazil, Email:;  
  Corporate Author Thesis  
  Publisher Inst Mathematical Statistics Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1935-7524 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000390364400036 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 684  
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