Exact Multinomial Test

The Exact Multinomial Test is a statistical hypothesis test belonging to the class of goodness-of-fit tests, which assesses the compatibility of observed categorical frequencies with expected proportions under a specified multinomial distribution by computing the exact probability of the observed data without relying on asymptotic approximations.

21

Publications

1K

Citations

54

Authors

37

Institutions

Publications per year

2017–2026

3

Authors

54

  1. YC
    Yong Cai

    University of Louisiana at Lafayette, United States

    2 publications · 28 citations

    2

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  2. KK
    K. Krishnamoorthy

    University of Louisiana at Lafayette, United States

    2 publications · 28 citations

    2

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  3. PN
    Paul N. Gregory

    University of Tennessee Health Science Center, United States

    1 publications · 16 citations

    1

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  4. IJ
    I. J. Good

    Virginia Tech, United States

    1 publications · 13 citations

    1

    h-index

  5. TT
    Tomohide Tamura

    National Cancer Center Hospital East, Japan

    1 publications · 75 citations

    1

    h-index

1–5 of 54

Venues

  1. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 25 citations

    2

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  2. 2

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  3. 2

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  4. Journal of Econometrics

    1 publications · 557 citations

    1

    h-index

  5. Psychological Bulletin

    1 publications · 12 citations

    1

    h-index

1–5