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Andrew P. Robinson (email), Timothy G. Gregoire, Harry T. Valentine

Cut-off importance sampling of bole volume.

Robinson A. P., Gregoire T. G., Valentine H. T. (1997). Cut-off importance sampling of bole volume. Silva Fennica vol. 31 no. 2 article id 5615. https://doi.org/10.14214/sf.a8516

Abstract

Cut-off importance sampling (CIS) is introduced as a means of sampling individual trees for the purpose of estimating bole volume. The novel feature of this variant of importance sampling is the establishment on the bole of a cut-off height, HC, above which sampling is precluded. An estimator of bole volume between predetermined heights HL and HU > HC is proposed, and its design-based bias and mean square error are derived. In an application of CIS as the second stage of a two-stage sample to estimate aggregate bole volume, the gain in precision realized from CIS more than offset its bias when compared to the precision of importance sampling when HC = HU.

Keywords
Monte Carlo methods; forest mensuration; mean-square error; two-stage sampling

Published in 1997

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Available at https://doi.org/10.14214/sf.a8516 | Download PDF

Creative Commons License CC BY-SA 4.0

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Valentine H. T., (1997) Height growth, site index, and carbon metabolism. Silva Fennica vol. 31 no. 3 article id 5623
Robinson A. P., Gregoire T. G. et al. (1997) Cut-off importance sampling of bole volume. Silva Fennica vol. 31 no. 2 article id 5615