Statistical Benchmarking

Statistical Benchmarking is a formal methodological framework within productivity benchmarking that employs statistical techniques to quantitatively compare performance metrics across entities, distinguishing itself by its reliance on probabilistic models and inferential analysis to establish normative performance standards.

78

Publications

4.5K

Citations

174

Authors

109

Institutions

Publications per year

2017–2026

21

Authors

174

  1. TH
    Torsten Hothorn

    University of Zurich, Switzerland

    3 publications · 248 citations

    3

    h-index

  2. FL
    Friedrich Leisch

    BOKU University, Austria

    3 publications · 248 citations

    3

    h-index

  3. MJ
    Manuel J. A. Eugster

    Aalto University, Finland

    3 publications · 71 citations

    3

    h-index

  4. TK
    Tomáš Kalibera

    Purdue University West Lafayette, United States

    2 publications · 63 citations

    2

    h-index

  5. DJ
    Dan Jurafsky

    Stanford University, United States

    2 publications · 150 citations

    2

    h-index

1–5 of 174

Venues

  1. ACM SIGARCH Computer Architecture News

    3 publications · 142 citations

    3

    h-index

  2. European Journal of Operational Research

    3 publications · 178 citations

    3

    h-index

  3. The Journal of Finance

    3 publications · 1K citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 81 citations

    2

    h-index

  5. IEEE Software

    2 publications · 189 citations

    2

    h-index

1–5