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Some alternative bivariate Gumbel models
被引:0
|作者:
Arnold, BC
[1
]
Castillo, E
Sarabia, JM
机构:
[1] Univ Calif Riverside, Dept Stat, Riverside, CA USA
[2] Univ Cantabria, Dept Comp Sci & Appl Math, Santander, Spain
[3] Univ Cantabria, Dept Econ, Santander, Spain
关键词:
bivariate extremes;
conditionally specified distributions;
functional equations;
D O I:
10.1002/(SICI)1099-095X(199811/12)9:6<599::AID-ENV315>3.0.CO;2-7
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
For modelling bivariate extremes, the classical bivariate Gumbel models are limited in their flexibility for fitting real world data sets. Alternative models, derived via conditional specification, are introduced in the current paper. A key difference between the classical models and the conditional specification models is to be found in the sign of the correlation between the variables in the models: non-negative for classical models, non-positive for conditionally specified models. (C) 1998 John Wiley & Sons, Ltd.
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页码:599 / 616
页数:18
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