AGRICULTURAL ECONOMISTS, RESPONSE FUNCTIONS AND LACK-OF-FIT TESTS
George E. Battese
Review of Marketing and Agricultural Economics, 1977, vol. 45, issue 03, 10
Abstract:
The significance of statistical lack-of-fit tests for hypothesized response functions describing experimental data is traced in some of the recent agricultural economics literature. The statistical test is reviewed in a regression framework and it is shown that the test is related to testing that some of the coefficients in a linear regression model have zero values. Comments are made on the relationship between the lack-of-fit test and the coefficient of determination.
Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 1977
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/9116/files/45030085.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:remaae:9116
DOI: 10.22004/ag.econ.9116
Access Statistics for this article
More articles in Review of Marketing and Agricultural Economics from Australian Agricultural and Resource Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().