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Trends in Applied Sciences Research
  Year: 2009 | Volume: 4 | Issue: 1 | Page No.: 25-35
DOI: 10.17311/tasr.2009.25.35
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Forest Harvesting Problem in the Light of the Information Measures

P. Rupsys and E. Petrauskas

This study presents a new characterization on optimal harvesting problem. By relying on both Gompertz shape stochastic growth model and the Shanon, Tsallis, Kullback, Fisher information measures, the solution of biologically optimal rotation problem is presented and exemplified. As an present experience a real data set is used from the repeated measurements on permanent sample plots of pine stands in Lithuania. All results are implemented in symbolic algebra system MAPLE.
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  •    Generalized Parametric R-norm Information Measure
  •    A Noiseless Coding Theorem Connected with Generalized Renyi’s Entropy of Order α for Incomplete Power Probability Distribution pβ
  •    A Coding Theorem for the Information Measure of Order α and of Type β
  •    A Univariate Stochastic Gompertz Model for Tree Diameter Modeling
  •    Optimal Continuous Cover Forest Management in an Uneven-Aged Forest in the North of Iran
  •    Stumpage Prices in the Iranian Caspian Forests
How to cite this article:

P. Rupsys and E. Petrauskas, 2009. Forest Harvesting Problem in the Light of the Information Measures. Trends in Applied Sciences Research, 4: 25-35.

DOI: 10.17311/tasr.2009.25.35






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