Exact Unconditional Inference

Exact Unconditional Inference is a statistical inferential method that, within the framework of exact inference for categorical data, conducts hypothesis testing or parameter estimation without conditioning on ancillary statistics, thereby preserving Type I error control by accounting for all sources of variability in the data.

48

Publications

3K

Citations

91

Authors

47

Institutions

Publications per year

2017–2026

3

Authors

91

  1. JJ
    Jonathan J. Shuster

    University of Florida, United States

    5 publications · 169 citations

    5

    h-index

  2. GS
    Guogen Shan

    University of Nevada, Las Vegas, United States

    5 publications · 65 citations

    5

    h-index

  3. NB
    N. Balakrishnan

    McMaster University, Canada

    5 publications · 421 citations

    5

    h-index

  4. AA
    Alan Agresti

    University of Florida, United States

    3 publications · 1.2K citations

    3

    h-index

  5. GE
    Gregory E. Wilding

    University at Buffalo, State University of New York, United States

    3 publications · 37 citations

    3

    h-index

1–5 of 91

Venues

  1. Journal of Statistical Planning and Inference

    5 publications · 336 citations

    5

    h-index

  2. Statistics in Medicine

    3 publications · 69 citations

    3

    h-index

  3. Journal of Biopharmaceutical Statistics

    JBS · 3 publications · 40 citations

    3

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 3 publications · 85 citations

    3

    h-index

  5. Biometrics

    3 publications · 245 citations

    3

    h-index

1–5