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Agricultural Economists, Response Functions And Lack-Of-Fit Tests

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  • Battese, George E.

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.

Suggested Citation

  • Battese, George E., 1977. "Agricultural Economists, Response Functions And Lack-Of-Fit Tests," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 45(03), pages 1-10, September.
    • Handle: RePEc:ags:remaae:9116
    DOI: 10.22004/ag.econ.9116
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    References listed on IDEAS

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    1. Dillon, John L., 1966. "Economic Considerations in the Design and Analysis of Agricultural Experiments," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(02), pages 1-12, June.
    2. J.D. Colwell, 1973. "Assessments Of The Relative Values Of Compound Nitrogen‐Phosphorus Fertilizers For Wheat Production," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 17(3), pages 189-199, December.
    3. Williams, Robert J. & Baker, J.R., 1968. "A Comparison of Response Surface and Factorial Designs in Agricultural Research," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 36(04), pages 1-13, December.
    4. Anderson, Jock R., 1971. "Guidelines for Applied Agricultural Research: Designing, Reporting and Interpreting Experiments," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(03), pages 1-12, September.
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    Keywords

    Research Methods/ Statistical Methods;

    Statistics

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