Bispectral-Based Goodness-of-Fit Tests of Gaussianity and Linearity of Stationary Time Series |
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Authors: | Nusrat Jahan Jane L. Harvill |
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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 |
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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. |
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Keywords: | Bispectral density function Frequency domain analysis Testing time series linearity |
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