APPLICATION OF TIME SERIES MODELS IN FORECASTING PRODUCTION ACTIVITY IN AGRICULTURE
DOI:
https://doi.org/10.55640/Keywords:
dynamic series , time series, economic processes, trend, mathematical modeling, regressionAbstract
The article analyzes the theoretical and practical aspects of forecasting agricultural production activities based on time series. Based on a linear trend model, the company's monthly sales volume is forecasted, a trend equation is constructed, and the accuracy of the forecast results is assessed using residuals and confidence intervals.
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References
1.Tursunov BX Economic processes modeling . – Tashkent: Economics , 2017.
2.Gujarati, DN Basic Econometrics . – McGraw-Hill, 2009.
3.Box GEP, Jenkins GM Time Series Analysis: Forecasting and Control . – Wiley, 2015.
4.Uzbekistan State Statistics of the Republic Committee . https://stat.uz
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