Work

The utility of less-common statistical methods for analyzing agricultural systems: focus on kernel density estimation, copula modeling and extreme value theory

Year: 2022

Type: article

Source: Behaviormetrika

DOI: 10.1007/s41237-022-00190-y

Authors: Tristan Senga Kiesse, Michael S. Corson

Institutions: Institut Agro Rennes-Angers, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Sol Agro et hydrosystème Spatialisation

Language: English

Topic: Sustainable Agricultural Systems Analysis

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4310375522

FWCI: 0.897

Cites: 46

Cited by: 11

Related to: 10