Additive Residual Variability

Additive Residual Variability is a type of residual unexplained variability in statistical modeling where the unaccounted variation is assumed to be constant across all levels of the predicted response, distinguished by its additive contribution to the model error independent of the magnitude of the prediction.

3

Publications

2.1K

Citations

8

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

8

  1. SN
    Simon N. Muchohi

    Kenya Medical Research Institute, Kenya

    1 publications · 22 citations

    1

    h-index

  2. GE
    Geoffrey Edwards

    University of Liverpool, United Kingdom

    1 publications · 22 citations

    1

    h-index

  3. RS
    Richard Smith

    Pacific Northwest National Laboratory, United States

    1 publications · 17 citations

    1

    h-index

  4. NB
    Neil B. Metcalfe

    University of Glasgow, United Kingdom

    1 publications · 17 citations

    1

    h-index

  5. AH
    Alison H. Thomson

    University of Strathclyde, United Kingdom

    1 publications · 22 citations

    1

    h-index

1–5 of 8

Venues

  1. Genetics

    1 publications · 2.1K citations

    1

    h-index

  2. Behaviour

    1 publications · 17 citations

    1

    h-index

  3. British Journal of Clinical Pharmacology

    BJCP · 1 publications · 22 citations

    1

    h-index

1–3