An estimation strategy to protect against over-estimating precision in a LiDAR-based prediction of a stand mean
A prediction of a forest stand mean may be biased and its estimated variance seriously underestimated when a model fitted for an ensemble of stands (stratum) does not hold for a specific stand. When the sampling design cannot support a stand-level lack-of-fit analysis, an analyst may opt to seek a p...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2018-12-01
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| Series: | Journal of Forest Science |
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| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201812-0002_an-estimation-strategy-to-protect-against-over-estimating-precision-in-a-lidar-based-prediction-of-a-stand-mean.php |