Applied Time Series Analysis

Time Series Analysis and Its Applications: With R Examples (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 15, 2013
Time Series Analysis and Its Applications: With R Examples (2nd edition) [Repost]

Robert H. Shumway, ‎David S. Stoffer - Time Series Analysis and Its Applications: With R Examples (2nd edition)
Published: 2006-05-25 | ISBN: 0387293175 | PDF | 575 pages | 5 MB

An Introduction to State Space Time Series Analysis (Practical Econometrics)(Repost)  eBooks & eLearning

Posted by Nice_smile) at Jan. 13, 2017
An Introduction to State Space Time Series Analysis (Practical Econometrics)(Repost)

An Introduction to State Space Time Series Analysis (Practical Econometrics) by Jacques J.F. Commandeur
English | 2007 | ISBN: 0199228876 | 240 Pages | PDF | 1.05 MB

Introduction to Time Series Analysis and Forecasting (repost)  eBooks & eLearning

Posted by libr at Dec. 15, 2016
Introduction to Time Series Analysis and Forecasting (repost)

Introduction to Time Series Analysis and Forecasting by Douglas C. Montgomery, Cheryl L. Jennings and Murat Kulahci
English | 2008 | ISBN: 0471653977 | 472 pages | PDF | 4 MB
Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis)

Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis) by Costas Milas
English | Apr. 24, 2006 | ISBN: 044451838X | 461 Pages | PDF | 4 MB

The business cycle has long been the focus of empirical economic research. Until recently, statistical analysis of macroeconomic fluctuations was dominated by linear time series methods.
Climate Time Series Analysis: Classical Statistical and Bootstrap Methods, 2nd edition

Climate Time Series Analysis: Classical Statistical and Bootstrap Methods, 2nd edition
by Manfred Mudelsee
English | 2014 | ISBN: 3319044494 | 454 pages | PDF | 10.57 MB

Applied Time Series Econometrics (repost)  eBooks & eLearning

Posted by arundhati at Feb. 18, 2016
Applied Time Series Econometrics (repost)

Helmut Lütkepohl, Markus Krätzig, "Applied Time Series Econometrics"
2004 | ISBN: 0521547873, 052183919X | PDF | 352 pages | 6 MB

Time Series Analysis and Forecasting in R  eBooks & eLearning

Posted by Rare-1 at Dec. 21, 2015
Time Series Analysis and Forecasting in R

Time Series Analysis and Forecasting in R
WEBRip | MP4/AVC, ~527 kb/s | 1280 x 720 | English: AAC, 59.4 kb/s (2 ch), 48.0 KHz | 641 MB
Genre: Business / Data & Analytics | Language: English | +Project Files

Learn how to work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis and more

Applied Time Series Econometrics [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 3, 2013
Applied Time Series Econometrics [Repost]

Helmut Lütkepohl, Markus Krätzig - Applied Time Series Econometrics
Published: 2004-08-04 | ISBN: 0521547873, 052183919X | PDF | 352 pages | 7 MB

Introduction to Modern Time Series Analysis, 2nd edition  eBooks & eLearning

Posted by arundhati at June 1, 2013
Introduction to Modern Time Series Analysis, 2nd edition

Gebhard Kirchgässner, Jürgen Wolters, "Introduction to Modern Time Series Analysis, 2nd edition"
2013 | ISBN-10: 3642334350 | 331 pages | PDF | 3,9 MB
Applied Nonlinear Time Series Analysis Applications in Physics, Physiology and Finance

Michael Small, «Applied Nonlinear Time Series Analysis Applications in Physics, Physiology and Finance»
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.