Understanding Statistical Risk

Understanding Statistical Risk is a scholarly construct within the domain of informed decision-making that denotes the cognitive comprehension and interpretative ability to evaluate probabilistic outcomes and uncertainties presented in statistical formats, distinguishing it from mere numerical literacy by emphasizing contextual, qualitative, and inferential reasoning about risks.

30

Publications

2.7K

Citations

69

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

69

  1. AR
    Andrew R. Barron

    Rice University, United States

    2 publications · 604 citations

    2

    h-index

  2. JL
    J. Laurie Snell

    Dartmouth College, United States

    1 publications · 17 citations

    1

    h-index

  3. HM
    Hisashi Muraishi

    Railway Technical Research Institute, Japan

    1 publications · 21 citations

    1

    h-index

  4. LH
    Laurie Hendrickx

    University of Groningen, Netherlands

    1 publications · 12 citations

    1

    h-index

  5. AK
    Aron K. Barbey

    University of Illinois Urbana-Champaign, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 69

Venues

  1. 2

    h-index

  2. Crime & Delinquency

    1 publications · 231 citations

    1

    h-index

  3. Choice Reviews Online

    CRO · 1 publications · 440 citations

    1

    h-index

  4. Ecological Economics

    1 publications · 29 citations

    1

    h-index

  5. Analytica Chimica Acta

    1 publications · 19 citations

    1

    h-index

1–5