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Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models

Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8f0c29b568a46f2adc34c9bca27b197

Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models

About this item

Full title

Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models

Publisher

United States: Public Library of Science

Journal title

PloS one, 2024-02, Vol.19 (2), p.e0297180-e0297180

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Gross domestic product (GDP) serves as a crucial economic indicator for measuring a country's economic growth, exhibiting both linear and non-linear trends. This study aims to analyze and propose an efficient and accurate time series approach for modeling and forecasting the GDP annual growth rate (%) of Saudi Arabia, a key financial indicator of t...

Alternative Titles

Full title

Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f8f0c29b568a46f2adc34c9bca27b197

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8f0c29b568a46f2adc34c9bca27b197

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0297180

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