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A comparative study between linear transfer models of low order and ARX model of high order depending on spatial series | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 4, Volume 6, Issue 1, 2006, Pages 27-48 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2006.032659 | ||
| Abstract | ||
| ABSTRACT A comparative study between linear transfer models of low order and ARX model of high order depends on spatial series. The research includes a comparison between efficiency of the different linear transfer function f stationary time – spatial series with low order models ( ARX11k , ARMAX2221 ,O.E221 , B.J22221 , pss1 ) and high order ARX model according to the percentage rate of coincidence of the model to the data . The comparison is made on a spatial – time series which shows the effect resulted on the biological factors of the soil as a consequence of changes in the chemical factors on one hand and physical factors on the other, and the two factors all are together as an input–output model ( multiple–uni ) in one time and (multiple–multiple) on another time . It appears that ARX models of high order has a high percentage fit compared with the transfer models of low order . | ||
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