الفهرس 
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Abstract
The analysis of experimental data that have been observed at sequential points of time leads to new and unique problems in statistical modelling and inference. The obvious correlation introduced by the sampling of adjacent time points can severely restricted the applicability of the many conventional statistical methodes that traditionally depend on the assumption that the adjacent observations are independent and identically distributed. The systematic approach by these time correlations is commonly referred as time series analysis.