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Notes: Efficient Unbiased Tree-Volume Estimation

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Two unbiased methods for estimating the volume of an individual tree are examined. One method is based on importance sampling and has been discussed by Gregoire et al. (1986). The other method is a logical extension of critical height sampling, which was first discussed by Kitamura (1962). The two methods are compared using a simple model for tree taper. When independent samples are drawn, the critical height method requires an inordinate sample size. However, when a negative correlation is induced in the sample observations using antithetic variates, both methods become much more efficient. The conclusion is that antithetic variates should be considered when taking multiple observations with either of these methods for unbiased tree volume estimation. For. Sci. 33(2):583-590.

Keywords: Importance sampling; antithetic variates; critical height sampling

Document Type: Miscellaneous

Affiliations: Assistant Professor, Department of Forestry, Oklahoma State University, Stillwater, OK 74078

Publication date: 1987-06-01

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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