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 **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 **interes** at Nov. 19, 2016

English | 2016 | ISBN: 1138795550, 1138795542 | 128 pages | PDF | 10,7 MB

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 **ChrisRedfield** at April 25, 2015

Published: 2009-04-28 | ISBN: 1584885734 | PDF | 269 pages | 2 MB

Posted by **interes** at May 13, 2014

English | ISBN: 0521865832 | 2008 | PDF | 974 pages | 17,6 MB

As with the first edition, this textbook provides a clear introduction to the fundamental theory of structural analysis as applied to vehicles, aircraft, spacecraft, automobiles, and ships. The emphasis is on the application of fundamental concepts of structural analysis in everyday engineering practice. No assumptions are made with regard to the method of analysis.

Posted by **nebulae** at Dec. 3, 2013

English | 2010 | ISBN: 3642126006 | 420 pages | PDF | 14 MB

Posted by **puliraja** at June 18, 2009

Walter Zucchini, Iain L. MacDonald | Chapman & Hall/CRC | 2009-04-28 | ISBN:1584885734 | Pages: 269 | PDF | 5.3MB

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.

Posted by **lout** at March 14, 2009

Publisher: Computer Science Press 2006 | 530 Pages | ISBN: 0881751138 | PDF | 27 MB