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Properties of Size-Biased Distributions and their Application in Forest Sampling
by
Mark J. Ducey
University of New Hampshire
Coauthors: Jeffrey H. Gove, U.S.D.A. Forest Service
Size-biased distributions arise naturally in common (and uncommon) approaches to sampling trees and other components of forests. We briefly describe several forest inventory protocols for which size-biased distributions are useful. Then, we exploit the properties of size-biased distributions to answer some important practical questions. Are there parameters of forest structure for which common size-biased sampling procedures are inherently unsuitable? Are there parameters for which additional efficiencies (e.g., through subsampling) can be anticipated a priori during the design stage?
Date received: October 13, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # carm-70.