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.
Original language | English |
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Pages (from-to) | 1045-1058 |
Number of pages | 14 |
Journal | Stochastic Environmental Research and Risk Assessment |
Volume | 30 |
Issue number | 3 |
DOIs | |
State | Published - 1 Mar 2016 |
Externally published | Yes |
Keywords
- Data analysis
- Maximum likelihood method
- Monte Carlo simulation
- Residuals
- Statistical modeling