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Notes: Approximate Sampling Variance of Adjusted 3P Estimates

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Two new approximations for sampling variance of adjusted 3P estimates are presented. One employs population parameters and is closely related to an expression tested by other authors with ambiguous results. The other new approximation is sample-based and appears to be a considerable improvement over several previously published expressions. Both new expressions perform well in a small population where exact computation of theoretically expected variance is feasible, and the parametric expression not only checks closely with well-replicated Monte Carlo estimates for larger populations, but permits prediction of the relatively low sampling intensity at which adjusted 3P sampling becomes more efficient than PPS sampling with fixed number of samples and replacement. Forest Sci. 22:173-176.

Keywords: Monte Carlo simulation; expected sampling variance

Document Type: Miscellaneous

Affiliations: Consultant Forester, Gainesville, Florida

Publication date: 1976-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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