Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/91708
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Matematika / Mathematics (N001);Miškotyra / Forestry (A004)
Author(s): Rupšys, Petras;Petrauskas, Edmundas
Title: A von Bertalanffy Bivariate Diffusion Model: Computational Aspects and Application
Is part of: Proceedings of 2018 IEEE International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT’2018), 23rd and 24th March, 2018: (CD-ROM). Piscataway: IEEE, 2018
Extent: p. 165-171
Date: 2018
Note: IEEE Xplore Digital Library :9781538607961, USB Version :9781538607954, Electronic Version (DVD) :9781538607930, Electronic version (CD-ROM) :9781538607923
Keywords: probability density function;bivariate stochastic differential equation;maximum likelihood procedure;von Bertalanffy growth model
ISBN: 9781538607923
Abstract: This paper focused on bivariate fixed- and mixed effect parameters von Bertalanffy type stochastic differential equation, resulting in a new biologically plausible class of bivariate lognormal probability density functions of response variables. New developed bivariate lognormal type probability density function is illustrated using dataset provided by the Lithuanian National Forestry Inventory. Fixed- and random effect parameters are estimated by the maximum likelihood procedure
Internet: https://hdl.handle.net/20.500.12259/91708
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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