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Testing parametric models in linear-directional regression

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Listed:
  • Eduardo GarcÍa-Portugués
  • Ingrid Van Keilegom
  • Rosa M. Crujeiras and
  • Wenceslao González-Manteiga

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Suggested Citation

  • Eduardo GarcÍa-Portugués & Ingrid Van Keilegom & Rosa M. Crujeiras and & Wenceslao González-Manteiga, 2016. "Testing parametric models in linear-directional regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 1178-1191, December.
    • Handle: RePEc:bla:scjsta:v:43:y:2016:i:4:p:1178-1191
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    File URL: http://hdl.handle.net/10.1111/sjos.12236
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    References listed on IDEAS

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    1. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    2. Bai, Z. D. & Rao, C. Radhakrishna & Zhao, L. C., 1988. "Kernel estimators of density function of directional data," Journal of Multivariate Analysis, Elsevier, vol. 27(1), pages 24-39, October.
    3. E. Deschepper & O. Thas & J. P. Ottoy, 2008. "Tests and Diagnostic Plots for Detecting Lack‐of‐Fit for Circular‐Linear Regression Models," Biometrics, The International Biometric Society, vol. 64(3), pages 912-920, September.
    4. Ming-yen Cheng & Hau-tieng Wu, 2013. "Local Linear Regression on Manifolds and Its Geometric Interpretation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1421-1434, December.
    5. Di Marzio, Marco & Panzera, Agnese & Taylor, Charles C., 2009. "Local polynomial regression for circular predictors," Statistics & Probability Letters, Elsevier, vol. 79(19), pages 2066-2075, October.
    6. Marco Di Marzio & Agnese Panzera & Charles C. Taylor, 2014. "Nonparametric Regression for Spherical Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 748-763, June.
    7. Graciela Boente & Daniela Rodriguez & Wenceslao González Manteiga, 2014. "Goodness-of-fit Test for Directional Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 259-275, March.
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    Cited by:

    1. Xu Qin & Huiqun Gao, 2024. "Nonparametric binary regression models with spherical predictors based on the random forests kernel," Computational Statistics, Springer, vol. 39(6), pages 3031-3048, September.
    2. Arthur Pewsey & Eduardo García-Portugués, 2021. "Recent advances in directional statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 1-58, March.
    3. Marc Hallin & H Lui & Thomas Verdebout, 2022. "Nonparametric Measure-transportation-based Methods for Directional Data," Working Papers ECARES 2022-18, ULB -- Universite Libre de Bruxelles.
    4. Di Marzio, Marco & Fensore, Stefania & Panzera, Agnese & Taylor, Charles C., 2019. "Kernel density classification for spherical data," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 23-29.
    5. Di Marzio, Marco & Fensore, Stefania & Panzera, Agnese & Taylor, Charles C., 2019. "Local binary regression with spherical predictors," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 30-36.

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