Testing that a stationary time-series is Gaussian: Time-domain vs. frequency-domain approaches

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Abstract

Several frequency-domain and time-domain procedures for testing that a stationary time-series are Gaussian are presented. Closed-form expressions of the asymptotic distribution of the test statistics under the null hypothesis of Gaussianity are derived. These procedures are then compared and assessed in two typical examples of applications (i) the detection of additive non-Gaussian outliers in stationary Gaussian noise with unknown covariance and (ii) the detection of the presence of contaminating values from non-symmetric distributions.

Original languageEnglish
Title of host publicationProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages336-340
Number of pages5
ISBN (Electronic)0780312384, 9780780312388
DOIs
Publication statusPublished - 1 Jan 1993
Event1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 - South Lake Tahoe, United States
Duration: 7 Jun 19939 Jun 1993

Publication series

NameProceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993

Conference

Conference1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993
Country/TerritoryUnited States
CitySouth Lake Tahoe
Period7/06/939/06/93

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