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)
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)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea82:279467
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 ().