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The coefficient of determination for regression without a constant term

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  • BARTEN, Anton P.

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  • BARTEN, Anton P., 1987. "The coefficient of determination for regression without a constant term," LIDAM Reprints CORE 766, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:766
    DOI: 10.1007/978-94-009-3591-4_12
    Note: In : R.D.H. Heijmans and H. Neudecker (eds), The Practice of Econometrics. Dordrecht, Martinus Nijhoff Publishers, 181-189, 1987
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    Cited by:

    1. Accolley, Delali, 2021. "Some Markov-Switching Models for the Toronto Stock Exchange," MPRA Paper 108072, University Library of Munich, Germany.
    2. Shi Sun & Cheng Sun & Dorine C. Duives & Serge P. Hoogendoorn, 2023. "Neural network model for predicting variation in walking dynamics of pedestrians in social groups," Transportation, Springer, vol. 50(3), pages 837-868, June.
    3. Mohamed Arbi Ben Aoun & Tamás Madarász, 2022. "Applying Machine Learning to Predict the Rate of Penetration for Geothermal Drilling Located in the Utah FORGE Site," Energies, MDPI, vol. 15(12), pages 1-21, June.
    4. Windmeijer, Frank, 1995. "A Note on R2 in the Instrumental Variables Model," MPRA Paper 102511, University Library of Munich, Germany.
    5. Ivana Kiprijanovska & Simon Stankoski & Igor Ilievski & Slobodan Jovanovski & Matjaž Gams & Hristijan Gjoreski, 2020. "HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning," Energies, MDPI, vol. 13(10), pages 1-29, May.

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