Interpretation Of Statistical Texts

Interpretation of Statistical Texts is the academic practice of systematically analyzing and explicating the meaning, structure, and implications of texts that present statistical information, distinguishing itself by focusing on the inferential, contextual, and representational aspects of statistical data and methods within their discursive and methodological frameworks.

122

Publications

11.1K

Citations

187

Authors

76

Institutions

Publications per year

2017–2026

14

Authors

187

  1. MG
    M. G. Kendall

    London School of Economics and Political Science, United Kingdom

    5 publications · 395 citations

    5

    h-index

  2. WR
    William R. Buckland

    4 publications · 342 citations

    4

    h-index

  3. JW
    Jane Watson

    University of Tasmania, Australia

    3 publications · 54 citations

    3

    h-index

  4. FH
    F. H. C. Marriott

    University of Oxford, United Kingdom

    3 publications · 102 citations

    3

    h-index

  5. MS
    Milo Schield

    Augsburg University, United States

    3 publications · 72 citations

    3

    h-index

1–5 of 187

Venues

  1. Journal of the American Statistical Association

    7 publications · 1.2K citations

    7

    h-index

  2. The American Statistician

    7 publications · 347 citations

    7

    h-index

  3. Choice Reviews Online

    CRO · 6 publications · 964 citations

    6

    h-index

  4. Technometrics

    5 publications · 1.1K citations

    5

    h-index

  5. 4

    h-index

1–5