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Bent-Cable Regression Theory and Applications

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  • Chiu, Grace
  • Lockhart, Richard
  • Routledge, Richard

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Suggested Citation

  • Chiu, Grace & Lockhart, Richard & Routledge, Richard, 2006. "Bent-Cable Regression Theory and Applications," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 542-553, June.
    • Handle: RePEc:bes:jnlasa:v:101:y:2006:p:542-553
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    Cited by:

    1. Zhang, Feipeng & Li, Qunhua, 2017. "A continuous threshold expectile model," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 49-66.
    2. Bruce E. Hansen, 2017. "Regression Kink With an Unknown Threshold," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 228-240, April.
    3. Getachew A. Dagne, 2021. "Bayesian Quantile Bent-Cable Growth Models for Longitudinal Data with Skewness and Detection Limit," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 129-141, April.
    4. van den Hout, Ardo & Muniz-Terrera, Graciela & Matthews, Fiona E., 2013. "Change point models for cognitive tests using semi-parametric maximum likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 684-698.
    5. Clive R McMahon & Marie-Jeanne Buscot & Natasha L Wiggins & Neil Collier & John H Maindonald & Hamish I McCallum & David M J S Bowman, 2011. "A Two-Phase Model for Smoothly Joining Disparate Growth Phases in the Macropodid Thylogale billardierii," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-9, October.

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