ADVANTAGES OF FORECASTING ECONOMIC PROCESSES USING THE ARIMA MODEL IN PYTHON

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Originally published in INTERNATIONAL SCIENTIFIC INNOVATION RESEARCH CONFERENCE; Vol. 1 No. 4 (2024): INTERNATIONAL SCIENTIFIC INNOVATION RESEARCH CONFERENCE; 41-48.
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Yulduz, Normamatova (2026) ADVANTAGES OF FORECASTING ECONOMIC PROCESSES USING THE ARIMA MODEL IN PYTHON. INTERNATIONAL SCIENTIFIC INNOVATION RESEARCH CONFERENCE; Vol. 1 No. 4 (2024): INTERNATIONAL SCIENTIFIC INNOVATION RESEARCH CONFERENCE; 41-48.

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Abstract

 This thesis highlights the advantages of forecasting economic  processes using the AutoRegressive Integrated Moving Average (ARIMA) model  implemented in the Python programming language. The empirical part of the study  uses official statistical data on wheat production in the Surkhandarya Region for  2010–2024. 

Item Type: Article
Additional Information: Imported from ISIRC Conference
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 24 Sep 2026 22:41
Last Modified: 24 Sep 2026 22:41
URI: https://universalpublishings.uz/id/eprint/9043

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