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Theory of Probability and Mathematical Statistics
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Article . 2016
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Theory of Probability and Mathematical Statistics
Article . 2017 . Peer-reviewed
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https://dx.doi.org/10.1090/tpm...
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On the asymptotic and approximate distributions of the product of an inverse Wishart matrix and a Gaussian vector

descriptionPublicationkeyboard_double_arrow_right Article 07 Feb 2017 English Publisher:American Mathematical Society (AMS)Journal:Theory of Probability and Mathematical Statistics, volume 93, pages 103-112 (issn: 0094-9000, eissn: 1547-7363, Copyright policy )
Authors: Kotsiuba, I.; Mazur, Stepan;

doi: 10.1090/tpms/1004

On the asymptotic and approximate distributions of the product of an inverse Wishart matrix and a Gaussian vector

Abstract

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Keywords

Asymptotic distribution theory in statistics, multivariate normal distribution, Wishart distribution, asymptotic distribution, Multivariate distribution of statistics, integral approximation, Approximations to statistical distributions (nonasymptotic)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
bronze