Model-assisted Inventory
Model-Assisted Inventory is an inventory estimation framework within forest inventory design that belongs to the class of model-based inference methods and is distinguished by its integration of a statistical or machine learning model to assist in improving the precision of design-unbiased estimators through the use of auxiliary data.
9
Publications
389
Citations
41
Authors
22
Institutions
Publications per year
2017–2026
5
Parents
9
1–5 of 9
41
2
h-index
1
h-index
Potsdam Institute for Climate Impact Research, Germany
1 publications · 130 citations
1
h-index
1
h-index
1
h-index
1–5 of 41
22

US Forest Service
Washington, United States
3 h-index
5 publications
167 citations
Seattle University
Seattle, United States
1 h-index
1 publications
61 citations

Potsdam Institute for Climate Impact Research
Potsdam, Germany
1 h-index
6 publications
780 citations
Natural Resources Institute Finland
Helsinki, Finland
1 h-index
2 publications
96 citations

Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
1 publications
27 citations
Pacific Biomarkers (United States)
Seattle, United States
1 h-index
1 publications
61 citations

Minnesota Department of Natural Resources
Saint Paul, United States
1 h-index
1 publications
19 citations
S.P.E.C.I.E.S.
Ventura, United States
1 h-index
1 publications
20 citations
1–8 of 22
1 publications · 43 citations
1
h-index
1 publications · 12 citations
1
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1 publications · 61 citations
1
h-index
1 publications · 20 citations
1
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1 publications · 29 citations
1
h-index
1–5