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Aproximation of Global Competitiveness Index (GCI) for Croatia using Polynomial Regression Model (CROSBI ID 650656)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Stanivuk, Tatjana ; Dašić, Predrag ; Aščić, Amna Aproximation of Global Competitiveness Index (GCI) for Croatia using Polynomial Regression Model // 7th International Conference Economics and Management based on New Technologies EMoNT-2017 / Dašić, Predrag (ur.). Vrnjačka Banja: SaTCIP Publisher Ltd., 2017. str. 22-31

Podaci o odgovornosti

Stanivuk, Tatjana ; Dašić, Predrag ; Aščić, Amna

engleski

Aproximation of Global Competitiveness Index (GCI) for Croatia using Polynomial Regression Model

Global Competiveness Index (GCI) is the economic and technological indicator, which allows to determine the level of economic and technological development of a country on an annual basis. It determines the amount of the influence of a number of key factors contributing to create the conditions for the competition. It is published annually in Global Competiveness Report (GCR) by World Economic Forum (WEF). In the paper is given trend analysis and approximation of Croatia’s Global competitiveness index (GCI) for period 2005-2016. Data is adequately approximated with 5th-degree Polynomial Regression Model (PRM5) with R=0.95797, R2=0.91771 and Adj R2=0.84913.

Global competitiveness index (GCI), Regression analysis, Polynomial Regression Model (PRM)

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Podaci o prilogu

22-31.

2017.

objavljeno

Podaci o matičnoj publikaciji

7th International Conference Economics and Management based on New Technologies EMoNT-2017

Dašić, Predrag

Vrnjačka Banja: SaTCIP Publisher Ltd.

978-86-6075-061-9

Podaci o skupu

7th International Conference "Economics and Management - Based on New Technologies" EMoNT-2017

pozvano predavanje

15.06.2017-18.06.2017

Vrnjačka Banja, Srbija

Povezanost rada

Matematika, Tehnologija prometa i transport, Ekonomija