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Author Leiva, V.; Ferreira, M.; Gomes, M.I.; Lillo, C.
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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