EconPapers    
Economics at your fingertips  
 

The potential of kernel density estimation for modelling relations among dairy farm characteristics

Tristan Senga Kiessé, Michael S. Corson and Maguy Eugène

Agricultural Systems, 2022, vol. 199, issue C

Abstract: Agricultural systems are generally characterised by many dependent variables that represent their management practices and performances. Parametric approaches are usually used to explore data collected from farms and relations among variables. However, these approaches are generally limited by strong assumptions about the shape of the model that relates variables to each other, which can induce bias in studies.

Keywords: Forage production; Greenhouse gas; Joint density; Milk production; Non-parametric smoothing (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X22000427
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:199:y:2022:i:c:s0308521x22000427

DOI: 10.1016/j.agsy.2022.103406

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:agisys:v:199:y:2022:i:c:s0308521x22000427