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Identifying a signal in a markovian symmetric cauchy random noise 

Authors: Bruno Masseacute a; Raymond Mocheacute b
Affiliations:   a Universiteacute du Littoral, Dunkerque, France
b UFR de Matheacutematiques (M2), USTL Citeacute Scientifique, Villeneuve d' Ascq Cedex, France
DOI: 10.1080/10485259608832683
Publication Frequency: 8 issues per year
Published in: journal Journal of Nonparametric Statistics, Volume 6, Issue 4 1996 , pages 383 - 396
Formats available: PDF (English)
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Abstract

An unknown signal θ being received in the presence of a Markovian symmetric Cauchy random noise whose probability law is known, we examine the problem of identifying θ with any given signal θo. We use two quite different methods to test the hypothesis “θ = θo”against an alternative hypothesis as large as possible. Several situations are presented in which the problem under consideration can, or cannot, be solved. In the first case, consistent tests are given.
Keywords: identification test; signal; Cauchy stochastic process; Markov process
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