Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1144014 | Systems Engineering Procedia | 2012 | 7 Pages |
Abstract
In this paper we use parametric and nonparametric density estimation procedures to evaluate crop yield distributions in Yunnan province. Akaike Information Criterion (AIC) is used to select a proper crop yield distribution. Maximum likelihood methods are explored to obtain reliable estimates. Furthermore, we propose a standard measure of crop engineering risk that is based on the expected loss of crop yield. Four major crops in Yunnan province based on pooled data over the period 1952-2009 are studied, and crop risks are analyzed.
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