Authors: Furnival, George M.; Valentine, Harry T.; Gregoire, Timothy G.

Source: Forest Science, Volume 32, Number 4, 1 December 1986 , pp. 1073-1078(6)

Publisher: Society of American Foresters

Abstract:

Importance sampling is proposed as a technique for estimating log volume that eliminates the bias of conventional methods arising from irregular log taper. In a trial of the technique, the average relative sampling error for individual logs, based on a measurement of one cross-section per log, was 5.2%. To estimate an aggregate volume, a two-stage sampling procedure is suggested in which importance sampling constitutes the second stage. Optimal sampling strategy is discussed briefly. Forest Sci. 32:1073-1078.

Keywords: Monte Carlo integration; proxy function

Document Type: Miscellaneous

Affiliations: 1: Assistant Professor of Forest Biometrics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: 1986-12-01

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