A comparison between a network of predictive values of the Linear General Trend model and the Holt – Winter models in analyzing the annual production level of live meat chickens for the period from 2014-2019 in Iraq

Asmaa Shaker Ashoor1 Ali Abdul Karim Kazem2

1 Department of Mathematics and Computers , College of Basic Education , University of Babylon
2 Department of Mathematics, College of Education for Pure Science, University of Babylon
*Corresponding Author: asmaa@uobabylon.edu.iq

DOI: 10.18081/2226-3284/5-10/17-29

AbstractKey words
The research aims to conduct a time series analysis network using the general linear trend model and Holt - Winter models and diagnose and test the suitability of the models to find the best model that predicts the annual production quantities of live meat poultry product for the period from 2014-2019 by six annual observations and each observation consists of 12 A monthly sample and the results showed that the appropriate model was the multiplicative Winter model, and through this model, the annual production quantities were predicted monthly and for another two years, as the predictive values were consistent with the original series values and this is an indication of the efficiency of the model.
Holt - Winter models ،linear general trend model ،Minitab ،SPSS

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