文章基本信息

标题：MODELING MULTIVARIATE CROP YIELD DENSITIES WITH FREQUENT EXTREME EVENTS
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作者：Chen, Shu-Ling ; Miranda, Mario J.
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2004
期号：suppl
出版社：Journal of Agribusiness
摘要：Measuring the lower tail of a crop yield distribution is important for managing agricultural production risk and rating crop insurance. Common parametric techniques encounter difficulties when attempting to model extreme yield events. We evaluate and compare alternative models based on our candidate distributions for high risk counties.