Concepedia

Extreme Value Screening

Extreme Value Screening is a data preprocessing method that identifies and evaluates outliers in yield datasets by applying statistical thresholds to distinguish anomalous observations from normal variability.

2

Publications

120

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

4

  1. CF
    Charles F. Sheffield

    The Ohio State University, United States

    1 publications · 24 citations

    1

    h-index

  2. SS
    S. Stanley Young

    National Institute of Statistical Sciences, United States

    1 publications · 24 citations

    1

    h-index

  3. SR
    Stephen Roberts

    University of Oxford, United Kingdom

    1 publications · 96 citations

    1

    h-index

  4. MW
    Mark W. Farmen

    Eli Lilly (United States), United States

    1 publications · 24 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. University of Oxford

    Oxford, United Kingdom

    1 h-index

    1 publications

    96 citations

  2. Research Triangle Park Foundation

    Durham, United States

    1 h-index

    3 publications

    72 citations

  3. The Ohio State University

    Columbus, United States

    1 h-index

    3 publications

    72 citations

1–3 of 3

Venues

  1. 1

    h-index

1–1