Percentile-based Thresholds

Percentile-Based Thresholds is a thresholding method in alerting systems that sets decision boundaries at specific percentile ranks of a data distribution, thereby distinguishing anomalous from normal behavior based on relative position within the observed dataset.

77

Publications

4.2K

Citations

356

Authors

230

Institutions

Publications per year

2017–2026

37

Authors

356

  1. PN
    Prem N. Ramkumar

    Cleveland Clinic, United States

    4 publications · 116 citations

    4

    h-index

  2. SM
    Sergio M. Navarro

    Baylor College of Medicine, United States

    4 publications · 116 citations

    4

    h-index

  3. XZ
    Xuebin Zhang

    Environment and Climate Change Canada, Canada

    4 publications · 1.1K citations

    4

    h-index

  4. HS
    Heather S. Haeberle

    Cleveland Clinic, United States

    3 publications · 98 citations

    3

    h-index

  5. FW
    Francis W. Zwiers

    University of Victoria, Canada

    3 publications · 878 citations

    3

    h-index

1–5 of 356

Venues

  1. Journal of Climate

    3 publications · 653 citations

    3

    h-index

  2. The Journal of Arthroplasty

    2 publications · 53 citations

    2

    h-index

  3. Journal of Hydrometeorology

    2 publications · 364 citations

    2

    h-index

  4. International Journal of Climatology

    2 publications · 136 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 75 citations

    2

    h-index

1–5