IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v192y2021ics0308521x21001475.html
   My bibliography  Save this article

Revisiting linear regression to test agreement in continuous predicted-observed datasets

Author

Listed:
  • Correndo, Adrian A.
  • Hefley, Trevor J.
  • Holzworth, Dean P.
  • Ciampitti, Ignacio A.

Abstract

In agricultural research and related disciplines, using a scatter plot and a regression line to visually and quantitatively assess agreement between model predictions and observed values is an extensively adopted approach, even more within the simulation modeling community. However, linear model fit, use, and interpretation are still controversial in the literature.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agisys:v:192:y:2021:i:c:s0308521x21001475
    DOI: 10.1016/j.agsy.2021.103194
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X21001475
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2021.103194?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    3. Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
    4. 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.
    5. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    6. Lin L. & Hedayat A. S. & Sinha B. & Yang M., 2002. "Statistical Methods in Assessing Agreement: Models, Issues, and Tools," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 257-270, March.
    7. Analla, M., 1998. "Model validation through the linear regression fit to actual versus predicted values," Agricultural Systems, Elsevier, vol. 57(1), pages 115-119, May.
    8. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    9. Moran, P. A. P., 1971. "Estimating structural and functional relationships," Journal of Multivariate Analysis, Elsevier, vol. 1(2), pages 232-255, June.
    10. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    11. Francq, Bernard G. & Govaerts, Bernadette, 2014. "Measurement methods comparison with errors-in-variables regressions. From horizontal to vertical OLS regression, review and new perspectives," LIDAM Reprints ISBA 2014015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    2. Nasca, J.A. & Feldkamp, C.R. & Arroquy, J.I. & Colombatto, D., 2015. "Efficiency and stability in subtropical beef cattle grazing systems in the northwest of Argentina," Agricultural Systems, Elsevier, vol. 133(C), pages 85-96.
    3. 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.
    4. Ojeda, Jonathan J. & Volenec, Jeffrey J. & Brouder, Sylvie M. & Caviglia, Octavio P. & Agnusdei, Mónica G., 2018. "Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM," Agricultural Water Management, Elsevier, vol. 195(C), pages 154-171.
    5. Yury B. Melnikov & Yelena A. Onokhina & Sergey A. Shitikov, 2018. "Improving the Adequacy of Economic Models," Journal of New Economy, Ural State University of Economics, vol. 19(1), pages 94-106, February.
    6. Hunt, Natalie D. & Gower, Stith T. & Nadelhoffer, Knute & Lajtha, Kate & Townsend, Kimberly & Brye, Kristofor R., 2016. "Validation of an agroecosystem process model (AGRO-BGC) on annual and perennial bioenergy feedstocks," Ecological Modelling, Elsevier, vol. 321(C), pages 23-34.
    7. Bockstaller, C. & Girardin, P., 2003. "How to validate environmental indicators," Agricultural Systems, Elsevier, vol. 76(2), pages 639-653, May.
    8. 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.
    9. Stirling, Sofía & Fariña, Santiago & Pacheco, David & Vibart, Ronaldo, 2021. "Whole-farm modelling of grazing dairy systems in Uruguay," Agricultural Systems, Elsevier, vol. 193(C).
    10. Komarek, Adam M. & Kwon, Hoyoung & Haile, Beliyou & Thierfelder, Christian & Mutenje, Munyaradzi J. & Azzarri, Carlo, 2019. "From plot to scale: ex-ante assessment of conservation agriculture in Zambia," Agricultural Systems, Elsevier, vol. 173(C), pages 504-518.
    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. repec:url:i20181:v:19:y:2018:i:1:p:94-106 is not listed on IDEAS
    13. Ojeda, J.J. & Pembleton, K.G. & Islam, M.R. & Agnusdei, M.G. & Garcia, S.C., 2016. "Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia," Agricultural Systems, Elsevier, vol. 143(C), pages 61-75.
    14. Plat, Richard, 2009. "Stochastic portfolio specific mortality and the quantification of mortality basis risk," Insurance: Mathematics and Economics, Elsevier, vol. 45(1), pages 123-132, August.
    15. Kondylis, Athanassios & Whittaker, Joe, 2008. "Spectral preconditioning of Krylov spaces: Combining PLS and PC regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2588-2603, January.
    16. Shalabh, 1998. "Improved Estimation in Measurement Error Models Through Stein Rule Procedure," Journal of Multivariate Analysis, Elsevier, vol. 67(1), pages 35-48, October.
    17. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    18. Paschalis Arvanitidis & Athina Economou & Christos Kollias, 2016. "Terrorism’s effects on social capital in European countries," Public Choice, Springer, vol. 169(3), pages 231-250, December.
    19. Rizvi, Syed Kumail Abbas & Rahat, Birjees & Naqvi, Bushra & Umar, Muhammad, 2024. "Revolutionizing finance: The synergy of fintech, digital adoption, and innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    20. Jonathan Berrisch & Florian Ziel, 2023. "Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices," Papers 2303.10019, arXiv.org, revised Feb 2024.
    21. Teerachai Amnuaylojaroen & Pavinee Chanvichit, 2024. "Historical Analysis of the Effects of Drought on Rice and Maize Yields in Southeast Asia," Resources, MDPI, vol. 13(3), pages 1-18, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:192:y:2021:i:c:s0308521x21001475. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.