Merchantability of loblolly pine - an application of nonlinear regression with a discrete dependent variable.

M. R. Strub, Edwin Green, H. E. Burkhart, W. R. Pirie

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A model to predict the probability of merchantability for an individual loblolly pine tree is developed. The model would be a useful addition to diameter distribution-based yield models. As the dependent variable is discrete and bounded by 0,1, the model is constrained to yield predictions in this interval. Graphical techniques were used to screen potential independent variables, and maximum likelihood was used to estimate the model parameters.- Authors

Original languageEnglish (US)
Pages (from-to)254-261
Number of pages8
JournalForest Science
Volume32
Issue number1
StatePublished - Jan 1 1986
Externally publishedYes

Fingerprint

Pinus taeda
prediction

All Science Journal Classification (ASJC) codes

  • Forestry
  • Ecology
  • Ecological Modeling

Cite this

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abstract = "A model to predict the probability of merchantability for an individual loblolly pine tree is developed. The model would be a useful addition to diameter distribution-based yield models. As the dependent variable is discrete and bounded by 0,1, the model is constrained to yield predictions in this interval. Graphical techniques were used to screen potential independent variables, and maximum likelihood was used to estimate the model parameters.- Authors",
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Merchantability of loblolly pine - an application of nonlinear regression with a discrete dependent variable. / Strub, M. R.; Green, Edwin; Burkhart, H. E.; Pirie, W. R.

In: Forest Science, Vol. 32, No. 1, 01.01.1986, p. 254-261.

Research output: Contribution to journalArticle

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