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Determining Initial Values for Parameters of a Weibull Model: A Case Study

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The flexibility of a Weibull-type function makes it an appropriate model for describing data with either monotonic decreasing or convex trends. Mathematically simple methodology is developed to obtain parameter estimates which serve as initial values for nonlinear least squares estimation. These procedures are applied to tree ring increment data and result in models that fit well. Forest Sci. 30:573-581.
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Keywords: Weibull distribution; increment data; initial parameter estimates; nonlinear least squares

Document Type: Journal Article

Affiliations: Departments of Forestry, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706

Publication date: 1984-09-01

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.

    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
    Other SAF Publications
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