Zamonaviy dunyoda ilm-fan va texnologiya 3-jild logy-son (2024) · 106–108-betlar

SURXONDARYO VILOYATIDA MEVA YETISHTIRISH KO‘RSATKICHLARINI MODEL YORDAMIDA PROGNOZLASHTIRISH

Majidova, Dilnoza

DOI: 10.70413/zdift-v03-i14-p1-027 · Manbada o'qish →

Annotatsiya

This article forecasts fruit production indicators in Surkhandarya region using ARIMA models. First, a brief overview of the ARIMA model is provided. The significance of the model was evaluated by MAPE, and the statistical significance of its parameters was assessed using the Augmented Dickey-Fuller test. The properties of ACF and PACF for some popular models are summarized. The compliance of the residuals with the normal distribution law and the absence of autocorrelation in them were studied. As a result, forecast values up to 2028 were developed.

Box-Jenkins methodology, stationary, ADF test, ACF, PACF, model, ARIMA, correlation, MAPE, constant.методология Бокса-Дженкинса, стационарный, тест ADF, ACF, PACF, модель, ARIMA, корреляция, MAPE, постоянный.Box-Jenkins metodologiyasi, statsionar, ADF testi, ACF, PACF, model, ARIMA, korrelyatsiya, MAPE, o‘zgarmas.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.