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Abstract

A new computational approach to identification for models of inverse dynamic problem has been proposed. It is based on robust econometric difference and integral identificationalgorithms. Their approbation is made on real statistical data for n-industrial open macroeconomic system. All models and sub-models have been tested for adequacy andcorrespondence with reality.



Item Type: MPRA Paper -

Original Title: An econometric approach to robust identification for models of inverse dynamic problem-

Language: English-

Keywords: identification; inverse dynamic problem, robust estimation-

Subjects: C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods-





Autor: Filchenko, Dmytro - D.

Fuente: https://mpra.ub.uni-muenchen.de/30761/







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