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...

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Bibliographic Details
Main Authors: Marangely Gonzalez Cruz, E. Annette Hernandez, Venkatesh Uddameri
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/10/2813

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