A Sample Homogeneity Test for Saskatchewan Grain Farm Data: An Application of the Principal Components Technique

Malcolm B. Carins and Ihn H. Uhm

No 279467, 1982 Annual Meeting, August 1-4, Logan, Utah from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: This paper demonstrates the use of principal component analysis to systematically identify aberrant observations in a multi-dimensional context to ensure sample homogeneity. Prior to quantitative analysis based on survey data such as diversified Saskatchewan grain farms, a careful examination of the data using this technique is illustrated.

Keywords: Crop Production/Industries; International Development (search for similar items in EconPapers)
Pages: 15
Date: 1982-08
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/279467/files/aaea-1982-135.pdf (application/pdf)

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:ags:aaea82:279467

DOI: 10.22004/ag.econ.279467

Access Statistics for this paper

More papers in 1982 Annual Meeting, August 1-4, Logan, Utah from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)
Bibliographic data for series maintained by AgEcon Search ().