Order Statistic Regression

Order Statistic Regression is a statistical modeling framework that incorporates order statistics as predictive features or response variables to explicitly model the sequential or ranked structure of data in regression analysis.

57

Publications

4.3K

Citations

85

Authors

44

Institutions

Publications per year

2017–2026

4

Authors

85

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    9 publications · 632 citations

    9

    h-index

  2. MZ
    Mohammad Z. Raqab

    University of Jordan, Jordan

    3 publications · 93 citations

    3

    h-index

  3. HN
    Haikady N. Nagaraja

    The Ohio State University, United States

    3 publications · 42 citations

    3

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  4. MB
    Mariusz Bieniek

    Maria Curie-Skłodowska University, Poland

    3 publications · 67 citations

    3

    h-index

  5. DQ
    Dana Quade

    University of North Carolina at Chapel Hill, United States

    2 publications · 75 citations

    2

    h-index

1–5 of 85

Venues

  1. Statistics & Probability Letters

    5 publications · 173 citations

    5

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  2. 4

    h-index

  3. Journal of Statistical Planning and Inference

    4 publications · 109 citations

    4

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  4. Technometrics

    4 publications · 283 citations

    4

    h-index

  5. Metrika

    3 publications · 89 citations

    3

    h-index

1–5