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Teoriya Veroyatnostei i ee Primeneniya, 1991, Volume 36, Issue 2, Pages 392–397 (Mi tvp2845)  

This article is cited in 5 scientific papers (total in 5 papers)

Short Communications

Strong consistency of maximum likelihood parameter estimation of superimposed exponential signals in noise

Z. D. Baiab, X. R. Chenba, P. R. Krishnaiaha, Y. H. Wua, L. C. Zhaoab

a Center for Multivariate Analysis, University of Pittsburgh
b Department of Mathematics, University of Science and Technology of China
Full-text PDF (383 kB) Citations (5)
Received: 15.01.1988
English version:
Theory of Probability and its Applications, 1991, Volume 36, Issue 2, Pages 349–355
DOI: https://doi.org/10.1137/1136037
Bibliographic databases:
Document Type: Article
Language: English
Citation: Z. D. Bai, X. R. Chen, P. R. Krishnaiah, Y. H. Wu, L. C. Zhao, “Strong consistency of maximum likelihood parameter estimation of superimposed exponential signals in noise”, Teor. Veroyatnost. i Primenen., 36:2 (1991), 392–397; Theory Probab. Appl., 36:2 (1991), 349–355
Citation in format AMSBIB
\Bibitem{BaiCheKri91}
\by Z.~D.~Bai, X.~R.~Chen, P.~R.~Krishnaiah, Y.~H.~Wu, L.~C.~Zhao
\paper Strong consistency of maximum likelihood parameter estimation of superimposed exponential signals in noise
\jour Teor. Veroyatnost. i Primenen.
\yr 1991
\vol 36
\issue 2
\pages 392--397
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\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1119520}
\zmath{https://zbmath.org/?q=an:0776.62023|0733.62030}
\transl
\jour Theory Probab. Appl.
\yr 1991
\vol 36
\issue 2
\pages 349--355
\crossref{https://doi.org/10.1137/1136037}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1991JB57800012}
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  • https://www.mathnet.ru/eng/tvp/v36/i2/p392
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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