The poly-log Weibull model applied to space-time interpolation of temperature
From MaRDI portal
Publication:6626010
DOI10.1002/env.2520zbMATH Open1545.62876MaRDI QIDQ6626010
Luiz Henrique Duczmal, Alex Mota, Fabio N. Demarqui, Max Sousa de Lima
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- A hierarchical max-stable spatial model for extreme precipitation
- Spatial modeling of extreme snow depth
- Multivariate extreme models based on underlying skew-\(t\) and skew-normal distributions
- Nonparametric spatial models for extremes: application to extreme temperature data
- A new concept of probability metric and its applications in approximation of scattered data sets
- Spatial hierarchical modeling of precipitation extremes from a regional climate model
- High-dimensional parametric modelling of multivariate extreme events
- Models for dependent extremes using stable mixtures
- Handbook of Spatial Statistics
- Bayesian Analysis for the Poly-Weibull Distribution
- Fisher information for a multivariate extreme value distribution
- An exploratory data analysis of the temperature fluctuations in a spreading fire
- Time series modeling of paleoclimate data
This page was built for publication: The poly-log Weibull model applied to space-time interpolation of temperature