Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/81285
Type of publication: Straipsnis kitose duomenų bazėse / Article in other databases (S4)
Field of Science: Matematika / Mathematics (N001)
Author(s): Rupšys, Petras;Petrauskas, Edmundas
Title: Forest harvesting problem in the light of the information measures
Is part of: Trends in Applied Sciences Research. New York., 2009, 4(1)
Extent: p. 25-35
Date: 2009
Keywords: Stochastic forest growth;Gompertz;Entropy;Shannon;Tsallis;Kullback;Fisher
Abstract: 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
Internet: https://hdl.handle.net/20.500.12259/81285
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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