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Notes: Sample Sizes and Estimation Methods for the Weibull Distribution for Unthinned Slash Pine Plantation Diameter Distributions

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Three methods were evaluated over four sample sizes for prediction of diameter distributions in unthinned site prepared slash pine plantations. Maximum likelihood estimation provided the best estimates of known distribution parameters. Under the likely assumption that there are no specific underlying parameters, both modified moments estimation and a percentile estimator reproduce the underlying distribution of diameters as well or better than maximum likelihood estimation. All three methods require approximately 50 tree samples to reproduce distributions into classes with less than 10% error in any class. For. Sci. 34(3):809-814.
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Keywords: Parameter estimation; Pinus elliottii; probability density function

Document Type: Miscellaneous

Affiliations: Assistant Professor of Forest Resources, School of Forest Resources, University of Georgia, Athens, Georgia 30602

Publication date: 1988-09-01

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  • 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.

    2016 Impact Factor: 1.782 (Rank 17/64 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
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