Predicting Parameters of a Weibull Function for Modeling Diameter Distribution

By Q. V. Cao. Forestry sciences, 2004

211 citations recorded by the source corpus.

The Weibull function has been widely used to characterize diameter distributions in a forest stand. Methods have been developed to predict the Weibull parameters, either directly or indirectly, from stand age, density, and dominant height. In this study, four existing methods and twonew methods of obtaining the Weibull parameters were evaluated using data from a loblolly pine (Pinus taeda L.) plantation. While both new methods performed well, one of them produced consistently better goodness-of-fit statistics than those from the existing methods. FOR. SCI. 50(5):682–685.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/bf03e0c7fe2e55152bfcd0bd99aa05d86525f748

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Citations in the corpus

A diameter distribution model for even-aged beech in Denmark (2006, methodology): “(5)–(7) were estimated simultaneously using CDF-regression as described by Cao (2004).”
Forest Growth and Yield Modeling (2011, methodology): “Although the percentile-based and hybrid approaches perform better than the moment-based approach (e.g. Cao, 2004), moments are the preferred method in growth and yield models because they ensure numeric compatibility and generally require fewer equations.”
Parameter recovery vs. parameter prediction for the Weibull distribution validated for Scots pine stands in Finland (2013, methodology): “Note that parameter prediction method has been improved lately by using Generalized Linear Model (GLM) to fit the distribution function and the prediction models for the parameters simultaneously (Cao 2004).”
Modelling the diameter distribution of Pinus sylvestris, Pinus nigra and Pinus halepensis forest stands in Catalonia using the truncated Weibull function (2006, methodology): “The regression approach (method 1 in Cao, 2004 ) used ordinary least squares technique to model the relationship between stand characteristics and Weibull parameters b and c (later referred to as the Ordinary Least Square (OLS) method).”