Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data
By Ronald E. McRoberts, Steen Magnussen, Erkki Tomppo, Gherardo Chirici. 2011
72 citations recorded by the source corpus.
Subfields: Environmental Engineering, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/bfb10136e381a06bddf8c2b75dc31edc101d0981
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Terje Gobakken
- Erik Næsset
- Ronald E. McRoberts
- Matti Maltamo
- Petteri Packalen
- Ole Martin Bollandsås
- Göran Ståhl
- Lindi J. Quackenbush
In Nature and Landscape Conservation
- Terje Gobakken
- Erik Næsset
- Ronald E. McRoberts
- Matti Maltamo
- Petteri Packalen
- Ole Martin Bollandsås
- Göran Ståhl
- Lindi J. Quackenbush
Citations in the corpus
- Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data (2015, background): “For k ≥ 25, McRoberts et al. (2011) and McRoberts (2012) reported similar values for parametric and bootstrap estimates.”