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Bispectral-Based Goodness-of-Fit Tests of Gaussianity and Linearity of Stationary Time Series
Authors:Nusrat Jahan  Jane L. Harvill
Affiliation:1. Department of Mathematics and Statistics , James Madison University , Harrisonburg, Virginia, USA jahannx@jmu.edu;3. Department of Statistical Science , Baylor University , Waco, Texas, USA
Abstract:
Spectral domain tests for time series linearity typically suffer from a lack of power compared to time domain tests. We present two tests for Gaussianity and linearity of a stationary time series. The tests are two-stage procedures applying goodness-of-fit techniques to the estimated normalized bispectrum. We illustrate the performances of the tests are competitive with time domain tests. The new tests typically outperform Hinich's (1982 Hinich , M. J. ( 1982 ). Testing for Gaussianity and linearity of a stationary time series . J. Time Ser. Anal. 3 : 169 – 176 .[Crossref] , [Google Scholar]) bispectral based test, especially when the length of the time series is not large.
Keywords:Bispectral density function  Frequency domain analysis  Testing time series linearity
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