Singular Spectrum Analysis with R

• Main Authors: Golyandina, Nina (Author, http://id.loc.gov/vocabulary/relators/aut), Korobeynikov, Anton (http://id.loc.gov/vocabulary/relators/aut), Zhigljavsky, Anatoly (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Use R!,
• Subjects: Statistics .; Optical data processing.; Computer software.; Statistical Theory and Methods.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Mathematical Software.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics and Computing/Statistics Programs.; Statistics for Life Sciences, Medicine, Health Sciences.

This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not ne...