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.
|Number of pages||14|
|Journal||Stochastic Environmental Research and Risk Assessment|
|State||Published - 1 Mar 2016|
- Data analysis
- Maximum likelihood method
- Monte Carlo simulation
- Statistical modeling