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Misuse of regression for empirical validation of models

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  • Mitchell, P. L.

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  • Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
    • Handle: RePEc:eee:agisys:v:54:y:1997:i:3:p:313-326
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    1. Harrison, S. R., 1990. "Regression of a model on real-system output: An invalid test of model validity," Agricultural Systems, Elsevier, vol. 34(3), pages 183-190.
    2. McCarl, Bruce A., 1984. "Model Validation: An Overview with some Emphasis on Risk Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), pages 1-21, December.
    3. Mayer, D. G. & Stuart, M. A. & Swain, A. J., 1994. "Regression of real-world data on model output: An appropriate overall test of validity," Agricultural Systems, Elsevier, vol. 45(1), pages 93-104.
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    1. M. Sezer & S. Tarhan, 2005. "Model parameters of growth curves of three meat-type lines of Japanese quail," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 50(1), pages 22-30.
    2. McCall, D. G. & Bishop-Hurley, G. J., 2003. "A pasture growth model for use in a whole-farm dairy production model," Agricultural Systems, Elsevier, vol. 76(3), pages 1183-1205, June.
    3. Wan, Liqiang & Zhang, Baisen & Kemp, Peter & Li, Xianglin, 2009. "Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach," Ecological Modelling, Elsevier, vol. 220(15), pages 1819-1825.
    4. Piñeiro, Gervasio & Perelman, Susana & Guerschman, Juan P. & Paruelo, José M., 2008. "How to evaluate models: Observed vs. predicted or predicted vs. observed?," Ecological Modelling, Elsevier, vol. 216(3), pages 316-322.
    5. Correndo, Adrian A. & Hefley, Trevor J. & Holzworth, Dean P. & Ciampitti, Ignacio A., 2021. "Revisiting linear regression to test agreement in continuous predicted-observed datasets," Agricultural Systems, Elsevier, vol. 192(C).
    6. Coqueret, Guillaume & Deguest, Romain, 2024. "Unexpected opportunities in misspecified predictive regressions," European Journal of Operational Research, Elsevier, vol. 318(2), pages 686-700.
    7. Guillaume Coqueret & Romain Deguest, 2024. "Unexpected opportunities in misspecified predictive regressions," Post-Print hal-04595355, HAL.
    8. Tedeschi, Luis Orlindo & Fox, Danny G. & Guiroy, Pablo J., 2004. "A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth," Agricultural Systems, Elsevier, vol. 79(2), pages 171-204, February.
    9. Şükrü İmre & Fatih Canıtez & Dilay Çelebi, 2021. "The Socio-Technical Transition to Electric Vehicle Mobility in Turkey: A Multi-Level Perspective," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-17, October.
    10. Bockstaller, C. & Girardin, P., 2003. "How to validate environmental indicators," Agricultural Systems, Elsevier, vol. 76(2), pages 639-653, May.
    11. Zhang, Baisen & Valentine, Ian & Kemp, Peter & Lambert, Greg, 2006. "Predictive modelling of hill-pasture productivity: integration of a decision tree and a geographical information system," Agricultural Systems, Elsevier, vol. 87(1), pages 1-17, January.
    12. Martin Schönhart & Erwin Schmid & Uwe A. Schneider, 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Working Papers 452009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    13. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    14. Schönhart, Martin & Schmid, Erwin & Schneider, Uwe A., 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Discussion Papers DP-45-2009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    15. Alagarswamy, G. & Singh, P. & Hoogenboom, G. & Wani, S. P. & Pathak, P. & Virmani, S. M., 2000. "Evaluation and application of the CROPGRO-Soybean simulation model in a Vertic Inceptisol," Agricultural Systems, Elsevier, vol. 63(1), pages 19-32, January.
    16. repec:zbw:inwedp:452009 is not listed on IDEAS
    17. J. Sales, 2009. "The error associated with the prediction of digestible protein contents of fish diets from tabulated values," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 54(11), pages 498-509.
    18. Qiongfang Li & John Gowing, 2005. "A Daily Water Balance Modelling Approach for Simulating Performance of Tank-Based Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(3), pages 211-231, June.
    19. O'Neal, Monte R. & Frankenberger, Jane R. & Ess, Daniel R., 2002. "Use of CERES-Maize to study effect of spatial precipitation variability on yield," Agricultural Systems, Elsevier, vol. 73(2), pages 205-225, August.
    20. Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.

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