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Author Leiva, V.; Ferreira, M.; Gomes, M.I.; Lillo, C. pdf  doi
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  Title Extreme value Birnbaum-Saunders regression models applied to environmental data Type
  Year 2016 Publication Stochastic Environmental Research And Risk Assessment Abbreviated Journal Stoch. Environ. Res. Risk Assess.  
  Volume 30 Issue 3 Pages 1045-1058  
  Keywords Data analysis; Maximum likelihood method; Monte Carlo simulation; Residuals; Statistical modeling  
  Abstract Extreme value models are widely used in different areas. The Birnbaum-Saunders distribution is receiving considerable attention due to its physical arguments and its good properties. We propose a methodology based on extreme value Birnbaum-Saunders regression models, which includes model formulation, estimation, inference and checking. We further conduct a simulation study for evaluating its performance. A statistical analysis with real-world extreme value environmental data using the methodology is provided as illustration.  
  Address [Leiva, Victor] Univ Adolfo Ibanez, Fac Sci & Engn, Santiago, Chile, Email: victorleivasanchez@gmail.com  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1436-3240 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000371316900019 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 585  
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