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Author (up) Marchant, C.; Leiva, V.; Cysneiros, F.J.A. pdf  doi
  Title A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions Type
  Year 2016 Publication Ieee Transactions On Reliability Abbreviated Journal IEEE Trans. Reliab.  
  Volume 65 Issue 2 Pages 816-827  
  Keywords EM algorithm; fatigue data; logarithmic distributions; maximum likelihood method; Monte Carlo simulation; multivariate generalized Birnbaum-Saunders distributions; R software  
  Abstract Univariate Birnbaum-Saunders models have been widely applied to fatigue studies. Calculation of fatigue life is of great importance in determining the reliability of materials. We propose and derive new multivariate generalized Birnbaum-Saunders regression models. We use the maximum likelihood method and the EM algorithm to estimate their parameters. We carry out a simulation study to evaluate the performance of the corresponding maximum likelihood estimators. We illustrate the new models with real-world multivariate fatigue data.  
  Address [Marchant, Carolina] Univ Fed Pernambuco, Recife, PE, Brazil, Email:;  
  Corporate Author Thesis  
  Publisher Ieee-Inst Electrical Electronics Engineers Inc Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0018-9529 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000382706900027 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 653  
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