Posted by **nebulae** at May 14, 2014

English | 2000 | ISBN: 0471889482 | 288 pages | PDF | 3,2 MB

Posted by **arundhati** at Aug. 4, 2013

2000 | ISBN: 0471889482 | 288 pages | PDF | 3,2 MB

Posted by **arundhati** at Jan. 17, 2018

2017 | ISBN-10:1788290224 | 244 pages | PDF | 12 MB

Posted by **AlenMiler** at Oct. 13, 2017

English | 28 Sept. 2017 | ISBN: 1788290224 | ASIN: B072L12QY6 | 244 Pages | AZW3 | 8.31 MB

Posted by **nebulae** at June 30, 2017

English | ISBN: 0190661569, 0190661550 | 2017 | 392 pages | PDF | 2 MB

Posted by **Underaglassmoon** at June 4, 2017

Morgan & Claypool | English | 2016 | ISBN-10: 1627059784 | 147 pages | PDF | 2.13 mb

by James M McCracken (Author)

Posted by **BUGSY** at May 18, 2015

English | Jan 23, 2001 | ISBN: 1584881941 | 309 Pages | PDF | 4 MB

Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and meteorological time series analysis and well known in nonlinear physics and signal processing.

Posted by **arundhati** at Dec. 23, 2014

2009 | ISBN-10: 0470517662 | 252 pages | PDF | 4 MB

Posted by **lenami** at Oct. 24, 2010

Publisher: Chapman & Hall | ISBN: 0412716402 | edition 1996 | PDF | 304 pages | 12 mb

"As an introduction to techniques for analyzing discrete time series, this textbook explains probability models, the spectral density function, time-invariant linear systems, state-space models, nonlinear models, and multivariate time series models."-"Book News, Inc."

This tidy book is a highly readable, introductory survey to the topic of modern time series analysis. It excels in its ability to focus on the more intuitive aspects of analysis and model identification. The discussion of both time- and frequency-domain approaches is reasonably balanced, and Kalman filtering is also introduced.

Posted by **step778** at Jan. 16, 2017

2000 | pages: 611 | ISBN: 0521640687 | DJVU | 16,0 mb