Parameter Identification of a Class of Economical Models | Zendy

Begoña Cantó | Zendy; Carmen Coll | Zendy; Elena Sánchez | Zendy

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Parameter Identification of a Class of Economical Models

Author(s) -

Begoña Cantó,

Carmen Coll,

Elena Sánchez

Publication year - 2010

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2010/408346

Subject(s) - identifiability , identification (biology) , class (philosophy) , process (computing) , computer science , parameter identification problem , type (biology) , mathematical optimization , mathematics , model parameter , artificial intelligence , machine learning , ecology , biology , operating system , botany

In mathematical modeling of economic problems, it is common to assume that economic laws influence the process and analyze the type of solution obtained. Sometimes these laws have unknown parameters and they worth studying if these parameters can be determined. In this paper, a structured system is considered and the identifiabilityis analyzed. In case the parameters can be uniquely identified, an algorithm for obtaining the model parameters is presented and,finally, the existence of a balanced growth solution is studied

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