@article {Lynch:2003:0015-749X:577,
title = "Maximum Likelihood Estimation for Predicting the Probability of Obtaining Variable Shortleaf Pine Regeneration Densities",
journal = "Forest Science",
parent_itemid = "infobike://saf/fs",
publishercode ="saf",
year = "2003",
volume = "49",
number = "4",
publication date ="2003-08-01T00:00:00",
pages = "577-584",
itemtype = "ARTICLE",
issn = "0015-749X",
url = "https://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000004/art00009",
keyword = "natural resource management, Pinus echinata, forestry research, forestry science, forest, environmental management, logistic regresson, forest resources, Natural regeneration, natural resources, forestry, forest management",
author = "Lynch, T.B. and Nkouka, J. and Huebschmann, M.M. and Guldin, J.M.",
abstract = "
A 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 (trees/ha) on the plot is greater than 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 multinomial distribution, for which maximum likelihood estimates are obtained. Counts of shortleaf pine regeneration taken 9-10 years after thinning on 182 plots established in naturally occurring shortleaf pine forests are used to estimate parameters. FOR. SCI. 49(4):577584.",
}