In this paper, we develop a new extension of the singular spectrum analysis (SSA) called functional SSA to analyze time series. The methodology is constructed by integrating ideas from data and univariate SSA. Specifically, introduce trajectory operator in world, which equivalent matrix regular SSA, one needs obtain value decomposition (SVD) decompose given Since there no procedure extract SVD ...

In a referendum conducted in the United Kingdom (UK) on June 23, 2016, $51.6\%$ of the participants voted to leave the European Union (EU). The outcome of this referendum had major policy and financial impact for both UK and EU, and was seen as a surprise because the predictions consistently indicate that the ``Remain'''' would get a majority. In this paper, we investigate whether the outcome o...

In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical problems. this paper, the performance of SSA tech nique considered by applying it well-known data set, namely, monthly accidental deaths USA. The results are com pared with those obtained using Box-Jenkins SARIMA models, ARAR algorithm Holt-Win...

Simultaneous-source acquisition has been recognized as an economic and efficient acquisition method, but the direct imaging of the simultaneous-source data produces migration artifacts because of the interference of adjacent sources. To overcome this problem, we propose the regularized least-squares reverse time migration method (RLSRTM) using the singular spectrum analysis technique that impos...