Using conditional Kendall's tau estimation to assess interactions among variables in dairy-cattle systems

Naomi Ouachene, Tristan Senga Kiessé and Michael S. Corson

Agricultural Systems, 2024, vol. 220, issue C

Abstract: Understanding how multiple factors interact in complex systems is an important issue. In particular, agricultural production systems are based on biological and ecological processes that are influenced by environmental and human factors, all of which interact. When evaluating such systems statistically, these multiple dependences and interactions make it more difficult to model system performances as a function of management practices and weather.

Keywords: Farming system; Dairy farm; Environmental performance; Interaction; Copula; Conditional Kendall's tau (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X24002397
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:220:y:2024:i:c:s0308521x24002397

DOI: 10.1016/j.agsy.2024.104089

Access Statistics for this article

Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().