Goodness-of-Fit Tests for Parametric Regression Models Based on Empirical Characteristic Functions

نویسندگان

  • Marie Husková
  • Simos G. Meintanis
چکیده

Test procedures are constructed for testing the goodness-of-fit in parametric regression models. The test statistic is in the form of an L2 distance between the empirical characteristic function of the residuals in a parametric regression fit and the corresponding empirical characteristic function of the residuals in a non-parametric regression fit. The asymptotic null distribution as well as the behavior of the test statistic under contiguous alternatives is investigated. Theoretical results are accompanied by a simulation study.

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عنوان ژورنال:
  • Kybernetika

دوره 45  شماره 

صفحات  -

تاریخ انتشار 2009