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A Test for Aliasing Using Bispectral Analysis.
- Source :
-
Journal of the American Statistical Association . Jun88, Vol. 83 Issue 402, p499. 4p. - Publication Year :
- 1988
-
Abstract
- Aliasing is a signal-confounding problem that arises when a continuous-time signal is sampled at a rate slower than twice the highest frequency component of a Fourier series representation of the signal. Aliasing can be especially serious for social-science time series applications, since the sampling designs used to construct most social-science data bases are fixed by considerations other than the nature of the underlying continuous-time mechanisms. After collecting sampled data, it is of value to test the observations for the presence of aliasing. It is shown that the nature of the support set of a sampled band-limited stationary signal can be used to motivate an amended version of the Hinich bispectrum test for Gaussianity (Hinich 1982) as a test for aliasing. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01621459
- Volume :
- 83
- Issue :
- 402
- Database :
- Academic Search Index
- Journal :
- Journal of the American Statistical Association
- Publication Type :
- Academic Journal
- Accession number :
- 4609268
- Full Text :
- https://doi.org/10.1080/01621459.1988.10478623