Posted by **nebulae** at Aug. 6, 2017

English | 2014 | ISBN: 1118808568 | 496 pages | PDF | 7 MB

Posted by **interes** at Jan. 22, 2015

English | 2014 | ISBN: 1118808568 | 496 pages | PDF | 7 MB

Posted by **ChrisRedfield** at April 12, 2014

Published: 2004-11-08 | ISBN: 0521814073 | PDF | 734 pages | 3 MB

Posted by **vijayvits12** at May 12, 2009

Wiley | ISBN : 0471230650 | 2003-08-01 | PDF | 480 Pages | 2,6 Mb

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen.

This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.

Posted by **arundhati** at Aug. 3, 2014

2005 | ISBN-10: 981256117X | 245 pages | PDF | 13 MB

Posted by **spiderman** at Nov. 27, 2006

World Scientific Publishing Company | ISBN 981256117X | April 2005 | PDF | 145 Pages | 13,45 Mb

Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine, however genuinely useful applications remain rare. The aim of this book is to focus on the practice of applying these methods to solve real problems. It is my hope that the methods presented here are sufficiently accessible, and the examples sufficiently detailed, that practitioners in other areas may use this work to begin considering further applications of nonlinear time series analysis in their own disciplines.

This volume is therefore intended to be accessible to a fairly broad audience:

both specialists in nonlinear time series analysis (for whom many of these techniques may be new); and, scientists in other fields (who may be looking to apply these methods within their speciality). For the experimental scientist looking to use these methods, MATLAB implementation of the underlying algorithms accompany this book.

Posted by **Underaglassmoon** at Feb. 7, 2018

Oxford University | English | 2017 | ISBN-10: 0198782934 | 384 pages | PDF | 30.91 mb

by Ray Huffaker (Author), Marco Bittelli (Author), Rodolfo Rosa (Author)

Posted by **hill0** at Jan. 24, 2018

English | 2018 | ISBN: 9789535137436 | 170 Pages | PDF | 16 MB

Posted by **Jeembo** at Jan. 21, 2018

English | 2017 | ISBN: 3319557882 | 414 Pages | PDF | 22.8 MB

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series.

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

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