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IRAQI JOURNAL OF STATISTICAL SCIENCES

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Building Parsimonious Dynamic System for Time Series

IRAQI JOURNAL OF STATISTICAL SCIENCES, 2005, Volume 5, Issue 1, Pages 140-165
10.33899/stats.2005.32832

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Abstract

In this paper the radial basis function method is used for the generation of models of time series. It has been arrived at a model for nonlinear time series. It has also been found that the error is restricted between zero and one. The probability characteristics have been explained for such series accompanied by a complete analysis for the residuals of model. A simulation has been done for the purpose of examination the generative information of the model. which have the same information characteristics.
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(2005). Building Parsimonious Dynamic System for Time Series. IRAQI JOURNAL OF STATISTICAL SCIENCES, 5(1), 140-165. doi: 10.33899/stats.2005.32832
. "Building Parsimonious Dynamic System for Time Series". IRAQI JOURNAL OF STATISTICAL SCIENCES, 5, 1, 2005, 140-165. doi: 10.33899/stats.2005.32832
(2005). 'Building Parsimonious Dynamic System for Time Series', IRAQI JOURNAL OF STATISTICAL SCIENCES, 5(1), pp. 140-165. doi: 10.33899/stats.2005.32832
Building Parsimonious Dynamic System for Time Series. IRAQI JOURNAL OF STATISTICAL SCIENCES, 2005; 5(1): 140-165. doi: 10.33899/stats.2005.32832
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