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Journal of Applied Statistics
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Journal of Applied Statistics
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Four tests of fit for the beta-binomial distribution

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2010 English Publisher:Informa UK LimitedJournal:Journal of Applied Statistics, volume 37, pages 1,547-1,554 (issn: 0266-4763, eissn: 1360-0532, Copyright policy )
Authors: Best, Donald John; Rayner, J. C. W; Thas, Olivier;

doi: 10.1080/02664760903089664

handle: 1959.13/929521

Four tests of fit for the beta-binomial distribution

Abstract

Tests based on the Anderson–Darling statistic, a third moment statistic and the classical Pearson–Fisher X 2 statistic, along with its third-order component, are considered. A small critical value and power study are given. Some examples illustrate important applications.

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Keywords

third-order component, Anderson–Darling statistic, third moment statistic, multinomial distribution, Physical Sciences and Mathematics, 310, Pearson’s X², 510

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citations
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!
0
Average
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Average
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