Mixed-effects Taper Models

Mixed-Effects Taper Models is a statistical modeling framework within the class of tree taper models that incorporates both fixed effects, representing population-average relationships, and random effects, accounting for within-subject or hierarchical variability in stem profile predictions.

11

Publications

467

Citations

36

Authors

30

Institutions

Publications per year

2017–2026

3

Parents

Authors

36

  1. UD
    Ulises Diéguez‐Aranda

    Universidade de Santiago de Compostela, Spain

    2 publications · 76 citations

    2

    h-index

  2. MF
    Mathieu Fortin

    AgroParisTech, France

    2 publications · 53 citations

    2

    h-index

  3. TP
    Timo Pukkala

    University of Eastern Finland, Finland

    2 publications · 114 citations

    2

    h-index

  4. SD
    Sergio de‐Miguel

    Universitat de Lleida, Spain

    2 publications · 114 citations

    2

    h-index

  5. LM
    Lauri Mehtätalo

    University of Eastern Finland, Finland

    1 publications · 98 citations

    1

    h-index

1–5 of 36

Venues

  1. PLoS ONE

    2 publications · 49 citations

    2

    h-index

  2. Forest Science

    2 publications · 104 citations

    2

    h-index

  3. Applied Physiology Nutrition and Metabolism

    PANM · 1 publications · 48 citations

    1

    h-index

  4. European Journal of Forest Research

    1 publications · 36 citations

    1

    h-index

  5. Forest Ecology and Management

    1 publications · 58 citations

    1

    h-index

1–5