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Maximum likelihood estimation for predicting the probability of obtaining variable shortleaf pine regeneration densitiesAuthor(s): Thomas B. Lynch; Jean Nkouka; Michael M. Huebschmann; James M. Guldin
Source: Forest Science 49(4): 577-584
Publication Series: Miscellaneous Publication
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DescriptionA logistic equation is the basis for a model that predicts the probability of obtaining regeneration at specified densities. The density of regeneration (trees/ha) for which an estimate of probability is desired can be specified by means of independent variables in the model. When estimating parameters, the dependent variable is set to 1 if the regeneration density (treeslha) on the plot is greaterthan the specified density (trees/ha), otherwise 0. Since it is desired to estimate parameters for a range of probability densities, traditional estimation techniques for logistic models cannot be used. Multiple regeneration densities require a muitinomial distribution, for which maximum likelihood estimates are obtained. Counts of shortleaf pine regeneration taken 9-10 years afterthinning on 182 plots established in naturally occurring shortleaf pine forests are used to estimate parameters.
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CitationLynch, Thomas B.; Nkouka, Jean; Huebschmann, Michael M.; Guldin, James M. 2003. Maximum likelihood estimation for predicting the probability of obtaining variable shortleaf pine regeneration densities. Forest Science 49(4): 577-584
KeywordsNatural regeneration, Pinus echinata, logistic regresson
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