Abstract
An autoregressive integrated moving average (ARIMA) univariate model was used to predict the previous tractor demand in Turkey. The data used in the model were obtained for the period 1961–2003 from FAO statistics. The ARIMA model was determined as (2, 2, 2) in order to predict tractor demand by using logarithmic transformation. The trend of the tractor stock was calculated by using coefficients of the model for 2004–2015. According to the model result, the demand may vary between 13,000 and 15,000 tractors per year, with an accumulated stock of 1.183 million by 2015.
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