Posted by **interes** at Sept. 2, 2014

English | 2011 | ISBN: 3642219802 | 520 pages | PDF | 5,7 MB

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century.

Posted by **libr** at Dec. 26, 2013

English | 2011 | ISBN: 3642219802 | 520 pages | PDF | 5,7 MB

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century.

Posted by **roxul** at Nov. 12, 2016

English | ISBN: 0521562600, 052156588X | 2001 | 252 pages | PDF | 12 MB

Posted by **Underaglassmoon** at June 26, 2016

Springer | Green Energy | July 23, 2016 | ISBN-10: 3319387634 | 98 pages | pdf | 5.72 mb

Authors: Fortuna, Luigi, Nunnari, Giuseppe, Nunnari, Silvia

Teaches students the essentials of applied time-series analysis

Provides the reader with software package and data set that helps put the methods described into practice

Posted by **interes** at July 19, 2015

English | 2015 | ISBN: 1584886501 | 340 pages | PDF | 6,8 MB

Posted by **fdts** at June 9, 2015

by Edward James Hannan

English | 1970 | ISBN: 0471348058 | 536 pages | DJVU | 1.92 MB

Posted by **ph4rr3l** at Dec. 10, 2011

Palgrave Macmillan (September 17, 2003) | ISBN: 1403902089 | 180 pages | PDF | 3 MB

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. Terence Mills introduces these various approaches to allow students and researchers to appreciate the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.

Posted by **Sonora** at Nov. 12, 2006

World Scientific | ISBN 981-238-290-9 | 2004 | PDF | 192 pages | 2.5 MB

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

Posted by **AlenMiler** at Oct. 29, 2016

English | 23 Oct. 2016 | ISBN: 1539692310 | 207 Pages | PDF | 1.84 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way.

Posted by **Underaglassmoon** at May 25, 2016

Springer | Security and Cryptology | June 20, 2016 | ISBN-10: 3319322516 | 145 pages | pdf | 2.51 mb

Authors: Ryabko, Boris, Astola, Jaakko, Malyutov, Mikhail

Topics of foundational interest

Describes applications such as attacks on block ciphers and authorship attribution