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IEEE Transactions on Communications
Article . 1991 . Peer-reviewed
License: IEEE Copyright
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https://dx.doi.org/10.1109/26....
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On the generalized multinomial distribution, optimal multinomial detectors, and generalized weighted partial decision detectors

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1991Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Communications, volume 39, pages 193-194 (issn: 0090-6778, Copyright policy )
Authors: Norman C. Beaulieu;

doi: 10.1109/26.76452

On the generalized multinomial distribution, optimal multinomial detectors, and generalized weighted partial decision detectors

Abstract

The probability of a particular outcome of a multinomial trial may depend on the trial number. The generalized multinomial distribution describes such an experiment. A mathematical statement of the generalized multinomial distribution is given. The Neyman-Pearson optimum generalized multinomial detectors for deterministic signals are derived for both binary and M-ary signaling. The equivalence of the generalized multinomial detectors and generalized weighted partial decision detectors is shown. The author claims that the work of E.K. Al-Hussaini (see ibid., vol.37, p.1099, 1989) on generalized multinomial detectors contains certain errors. >

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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!
15
Top 10%
Top 10%
Average
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