Yulduz, Normamatova (2026) PYTHON DASTURIDA ARIMA, SARIMA VA PROPHET MODELLARI YORDAMIDA IQTISODIY JARAYONLARNI PROGNOZLASH USULLARINI QIYOSIY TAHLIL QILISH. "Conference on Universal Science Research 2023"; Vol. 4 No. 5 (2026): "Conference on Universal Science Research 2023"; 110-119.
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Abstract
Mazkur tezisda Python dasturlash tilida vaqt qatorlarini prognozlashda keng qo‘llaniladigan ARIMA, SARIMA va Prophet modellarining imkoniyatlari qiyosiy tahlil qilindi. Tadqiqotda iqtisodiy ko‘rsatkichlar vaqt qatori ma'lumotlari asosida uchala model qurildi va ularning prognozlash aniqligi, hisoblash tezligi, qo‘llash qulayligi hamda amaliy afzalliklari baholandi. Modellashtirish jarayonida Python dasturining pandas, statsmodels, prophet va matplotlib kutubxonalaridan foydalanildi. Tadqiqot natijalari shuni ko‘rsatdiki, ARIMA modeli oddiy vaqt qatorlari uchun, SARIMA mavsumiy o‘zgarishlarga ega qatorlar uchun, Prophet modeli esa murakkab trend va mavsumiylik kuzatiladigan iqtisodiy jarayonlar uchun samarali natijalar beradi.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from Conference on Universal Science Research 2023 |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 03 Oct 2026 21:10 |
| Last Modified: | 03 Oct 2026 21:10 |
| URI: | https://universalpublishings.uz/id/eprint/19874 |
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