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

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

Posted by **libr** at Sept. 4, 2014

English | 2008-02-01 | ISBN: 3540756310 | 308 pages | PDF | 8,1 MB

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

Posted by **interes** at March 14, 2014

English | 2008-02-01 | ISBN: 3540756310 | 308 pages | PDF | 8,1 MB

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

Posted by **TimMa** at March 6, 2014

Publisher: Univ Wurzburg | 2005 | ISBN: N/A | English | PDF | 214 pages | 1.5 Mb

A First Course on Time Series Analysis links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. …

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 **libr** at Feb. 27, 2017

English | ISBN: 3527406239 | edition 2006 | PDF | 509 pages | 10 mb

Posted by **Nice_smile)** at Feb. 24, 2017

English | 2017 | ISBN: 3662534282 | 240 Pages | PDF | 8.78 MB

Posted by **nebulae** at Feb. 21, 2017

English | ISBN: 1466577738 | 2016 | 484 pages | PDF | 9 MB

Posted by **Nice_smile)** at Feb. 13, 2017

English | 1999 | ISBN: 9810235054 | 218 Pages | PDF | 25.63 MB

Posted by **AlenMiler** at Jan. 24, 2017

English | 11 Dec. 2016 | ISBN: 1540809080 | 212 Pages | PDF (True) | 1.58 MB

Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and unhurried practical journey to creating deep neural network models for time series forecasting with Python.