Please use this identifier to cite or link to this item:
Type of publication: research article
Type of publication (PDB): Straipsnis kituose recenzuojamuose leidiniuose / Article in other peer-reviewed editions (S5)
Field of Science: Matematika / Mathematics (N001)
Author(s): Rupšys, Petras
Title: Information measures for the stochastic Gompertz growth model
Is part of: Lietuvos matematikos rinkinys: Lietuvos matematikų draugijos darbai Vilnius., 2008, T. 48/49
Extent: p. 48-53
Date: 2008
Keywords: Stochastic process;Gompertz;Shannon;Fisher;Simulation
Abstract: In this paper we investigate the Shannon’s, Fisher’s and Tsallis’ information measures for the Gompertz type stochastic process.We study the informationmeasures of the stationary and non-stationary Gompertz type densities associated to the three parameters: intrinsic growth rate, saturation measure and noise amplitude. Finallywe simulate the confidence interval for the value of all informationmeasures. The results are implemented in the symbolic algebra languageMAPLE
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Page view(s)

checked on Jun 6, 2021


checked on Jun 6, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.