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Tests and Diagnostic Plots for Detecting Lack‐of‐Fit for Circular‐Linear Regression Models

Author

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  • E. Deschepper
  • O. Thas
  • J. P. Ottoy

Abstract

Summary Regression diagnostics and lack‐of‐fit tests mainly focus on linear‐‐linear regression models. When the design points are distributed on the circumference of a circle, difficulties arise as there is no natural starting point or origin. Most classical lack‐of‐fit tests require an arbitrarily chosen origin, but different choices may result in different conclusions. We propose a graphical diagnostic tool and a closely related lack‐of‐fit test, which does not require a natural starting point. The method is based on regional residuals which are defined on arcs of the circle. The graphical method formally locates and visualizes subsets of poorly fitting observations on the circle. A data example from the food technology is used to point out the before‐mentioned problems with conventional lack‐of‐fit tests and to illustrate the strength of the methodology based on regional residuals in detecting and localizing departures from the no‐effect hypothesis. A small simulation study shows a good performance of the regional residual test in case of both global and local deviations from the null model. Finally, the ideas are extended to the case of more than one predictor variable.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:3:p:912-920
    DOI: 10.1111/j.1541-0420.2007.00950.x
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    References listed on IDEAS

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    1. D. Y. Lin & L. J. Wei & Z. Ying, 2002. "Model-Checking Techniques Based on Cumulative Residuals," Biometrics, The International Biometric Society, vol. 58(1), pages 1-12, March.
    2. Deschepper, E. & Thas, O. & Ottoy, J.P., 2006. "Regional residual plots for assessing the fit of linear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 1995-2013, April.
    3. Fan J. & Huang L-S., 2001. "Goodness-of-Fit Tests for Parametric Regression Models," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 640-652, June.
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    2. 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.

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