مشخصات پژوهش

عنوان	تحلیل تکینی طیفی سری های زمانی در حضور داده های پرت
نوع پژوهش	مقالات در همایش ها
کلیدواژه‌ها	singular spectrum analysis, outlier data, time series, singular value decomposition
چکیده	The Spectral Spectral Analysis (SSA) method is considered for time series containing overload values. In this paper, the effect of the fluctuation values on series reconstruction and prediction will be examined and the effectiveness and robustness of the two methods of prediction of the series are compared and finally, using simulation tools and analyzing the actual data of the asylum application to Iran, the effect of the existence of data in different parts of the world The series will look at the power of rebuilding and predicting the series.
پژوهشگران	حسین حق بین (نفر اول)، مریم شامس (نفر دوم)