Open Conference Systems, ICQQMEAS2009

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ANALYSIS AND FORECASTING OF THE NUMBER OF TRACTORS IN ITALY WITH TIME–SERIES METHODS
Petros Christodoulou, Michail Pazarskis

Last modified: 2015-09-15

Abstract


In this paper we analyze and forecast the number of tractors in Italy. The particular method consists of 4 stages: identification, estimation, diagnostic checking and forecasting. It proves that the most suitable model is the General Modified Exponential (G.M.E.) with 1st order autocorrelation correction. So we expect that the forecasts of this model will be the best

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