- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2197-5620
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Evaluation of sampling strategies to estimate crown biomass ; volume:2 ; number:1 ; day:17 ; month:1 ; year:2015 ; pages:1-11 ; date:12.2015
Forest ecosystems ; 2, Heft 1 (17.1.2015), 1-11, 12.2015
- Creator
-
Poudel, Krishna P.
Temesgen, Hailemariam
Gray, Andrew N.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40663-014-0025-0
- URN
-
urn:nbn:de:101:1-2021082919414176652664
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Poudel, Krishna P.
- Temesgen, Hailemariam
- Gray, Andrew N.
- SpringerLink (Online service)
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Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data
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On the improvement of paired ranked set sampling to estimate population mean
Improved sampling strategies for ensemble-based optimization
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An analysis of forest biomass sampling strategies across scales
Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data
Minimax strategies in survey sampling
Mapping data gaps to estimate biomass across Brazilian Amazon forests
BIOMASS ESTIMATION OF INDIVIDUAL TREES USING STEM AND CROWN DIAMETER TLS MEASUREMENTS
First-order estimate of the planktic foraminifer biomass in the modern ocean
On the improvement of paired ranked set sampling to estimate population mean
Improved sampling strategies for ensemble-based optimization
Evaluation of limited sampling strategies for tacrolimus
Sampling weighting strategies in causal mediation analysis
Adaptive sampling strategies for reduced-order modeling