Observations of phenomena whose characteristics change over time generate an ordered sequence known as a time series. In this research, a statistical time series test was applied to examine the statistical regularity of the average yearly volume (y_t) ̅- of harvested grapes in the Republic of Uzbekistan, based on data from the Central Statistical Office of Uzbekistan for the period 2012–2024. Point and interval predictions (with a 95% confidence level) were constructed for the mean annual volume of harvested grapes in the country. The explicit forms of trend models were identified, and forecasts were made for the predicted grape harvest volumes in the coming years. Using the Durbin–Watson statistical test, it was established that the average volume of harvested grapes in Uzbekistan exhibits autocorrelation dependence.
Statistical Analysis And Forecasting Of The Dynamics Of Harvested Grapes In The Republic Of Uzbekistan
DOI:
Keywords:
Discrete
grape
time series
volume
Abstract
References
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