Confirmation Functions

Confirmation Functions is a formal metric within confirmation theory that quantifies the degree to which evidence supports or confirms a hypothesis relative to alternative hypotheses.

34

Publications

1.6K

Citations

53

Authors

34

Institutions

Publications per year

2017–2026

4

Variants

Confirmation Measures

Authors

53

  1. RM
    René M. Dailey

    The University of Texas at Austin, United States

    4 publications · 140 citations

    4

    h-index

  2. LK
    Lynsey K. Romo

    North Carolina State University, United States

    3 publications · 117 citations

    3

    h-index

  3. AA
    Andrea A. McCracken

    The University of Texas at Austin, United States

    2 publications · 58 citations

    2

    h-index

  4. JL
    J. L. Mackie

    New College, United Kingdom

    2 publications · 106 citations

    2

    h-index

  5. RF
    Roberto Festa

    University of Genoa, Italy

    1 publications · 26 citations

    1

    h-index

1–5 of 53

Venues

  1. 9

    h-index

  2. Philosophy of Science

    2 publications · 59 citations

    2

    h-index

  3. Synthese

    2 publications · 40 citations

    2

    h-index

  4. Communication Research

    CR · 1 publications · 59 citations

    1

    h-index

  5. Management Science

    1 publications · 91 citations

    1

    h-index

1–5