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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Stochastinio genetinio modelio ir CKLS lygties parametrų vertinimas / Estimation of parameters of stochastic genetic model and ckls equation

Jusel, Jaroslav 02 July 2014 (has links)
Darbe yra vertinami stochastinio genetinio modelio ir CKLS lygties parametrai pasinaudojant sprendinio stacionariuoju tankiu. Atlikti skaičiavimai parodo, kad SDL parametrai yra ,,gerai" įvertinami, esant pakankamai dideliam stebėjimų skaičiui, pvz.: N = 10 000. Skaičiavimams atlikti sukurta kompiuterinė programa. / In this work estimation of parameters of stochastic genetic model and CKLS equation using process stationary density is presented. The research shows that SDE parameters are estimated "well" when we have large number of observations, e.g. N = 10 000. Application is created to carry out calculations.
SDL
Genetinis modelis
CKLS
CKLS lygtis
Parametrų vertinimas
Stochastinė diferencialinė lygtis
LUDE algoritmas
SDE
CKLS equation
Estimation of parameters

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