The poly-log Weibull model applied to space-time interpolation of temperature

被引：2
|
作者：
Mota, A. L. [1 ]
De Lima, M. S. [1 ]
Demarqui, F. N. [2 ]
Duczmal, L. H. [3 ]
机构：
[1] Univ Fed Amazonas, Dept Stat, BR-69077000 Manaus, Amazonas, Brazil
[2] Fluminense Fed Univ, Dept Stat, BR-24210201 Rio De Janeiro, Brazil
[3] Univ Fed Minas Gerais, Dept Stat, BR-31270901 Belo Horizonte, MG, Brazil
来源：
ENVIRONMETRICS | 2018年 / 29卷 / 07期
关键词：
multivariate log-Weibull; space-time interpolation; temperature; weather stations; EXTREMES;
D O I：
10.1002/env.2520
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, a multivariate log-Weibull model for spatially dependent data is defined by marginalizing a conditional Pareto distribution with respect to a shared spatial random effect of alpha-stable distributions. Some properties of this new model are derived, and procedures for the estimation and inference are discussed. An application is developed to study observed temperature data sets collected from weather stations in the Brazilian Amazon.
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收藏
页数：16
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