MODELING MULTIVARIATE CROP YIELD DENSITIES WITH FREQUENT EXTREME EVENTS

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.


Issue Date:
2004
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/19970
Total Pages:
16
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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