Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/82192
Type of publication: 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
Internet: ftp://ftp.science.mii.lt/pub/publications/48-49_TOMAS(2008)/ATSITIKT/Rupsys.pdf
ftp://ftp.science.mii.lt/pub/publications/48-49_TOMAS(2008)/ATSITIKT/Rupsys.pdf
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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