Comparison of mistakes criteria using multiple linear regressions applied to cotton data
DOI:
https://doi.org/10.21533/pen.v8.i1.1041Abstract
Cotton is the main crop not only among cellulosic crops but also among the various crops that are the raw materials which is used in the yarn and fabrics industries. The data of this crop were obtained from the central organization of Statistics in Iraq including yield, domestic consumption, production, total supply, export and import of this crop for the period (1960-2019).The mistakes criteria (MSE, MAPE, MSAE, SAZ1 and SAZ2) were compared using multiple linear regressions. The results showed high-quality ratios in terms of mistakes criteria (SAZ1 and SAZ2) as compared to other criteria.
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