Climatic Influences on Agricultural Drought Risks Using Semiparametric Kernel Density Estimation
A bivariate kernel density estimation (KDE) method was utilized to develop a stochastic framework to assess how agricultural droughts are related to unfavorable meteorological conditions. KDE allows direct estimation of the bivariate cumulative density function which can be used to extract the margi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/12/10/2813 |