Applied Econometric Time Series Analysis

Applied Econometric Time Series, 4 edition  eBooks & eLearning

Posted by interes at Jan. 22, 2015
Applied Econometric Time Series, 4 edition

Applied Econometric Time Series, 4 edition by Walter Enders
English | 2014 | ISBN: 1118808568 | 496 pages | PDF | 7 MB

The Structural Econometric Time Series Analysis Approach  eBooks & eLearning

Posted by ChrisRedfield at April 12, 2014
The Structural Econometric Time Series Analysis Approach

Arnold Zellner, ‎Franz C. Palm - The Structural Econometric Time Series Analysis Approach
Published: 2004-11-08 | ISBN: 0521814073 | PDF | 734 pages | 3 MB

Applied Econometric Time Series, 2nd Edition { Repost }  eBooks & eLearning

Posted by vijayvits12 at May 12, 2009
Applied Econometric Time Series, 2nd Edition { Repost }

Applied Econometric Time Series, 2nd Edition
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.
Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance (repost)

Michael Small, "Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance"
2005 | ISBN-10: 981256117X | 245 pages | PDF | 13 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.
Applied Econometric Times Series (Wiley Series in Probability and Statistics) by Walter Enders (Repost)

Applied Econometric Times Series (Wiley Series in Probability and Statistics) by Walter Enders (Repost)
Publisher: Wiley; 3 edition (November 2, 2009) | ISBN: 0470505397 | Pages: 544 | PDF | 17.98 MB

Enders continues to provide business professionals with an accessible introduction to time-series analysis. He clearly shows them how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the latest techniques. The third edition includes new discussions on parameter instability and structural breaks as well as out-of-sample forecasting methods. New developments in unit root test and cointegration tests are covered. Multivariate GARCH models are also presented. In addition, several statistical examples have been updated with real-world data to help business professionals understand the relevance of the material.

Time Series Analysis and Its Applications: With R Examples, Fourth Edition  eBooks & eLearning

Posted by AvaxGenius at April 25, 2017
Time Series Analysis and Its Applications: With R Examples, Fourth Edition

Time Series Analysis and Its Applications: With R Examples, Fourth Edition By Robert H. Shumway, David S. Stoffer
English | PDF | 2017 | 567 Pages | ISBN : 3319524518 | 16.84 MB

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.
Time Series Analysis: Nonstationary and Noninvertible Distribution Theory, 2nd edition

Katsuto Tanaka, "Time Series Analysis: Nonstationary and Noninvertible Distribution Theory, 2nd edition"
English | ISBN: 1119132096 | 2017 | 904 pages | PDF | 11 MB

Multivariate Time Series Analysis: With R and Financial Applications (repost)  eBooks & eLearning

Posted by libr at April 9, 2017
Multivariate Time Series Analysis: With R and Financial Applications (repost)

Multivariate Time Series Analysis: With R and Financial Applications by Ruey S. Tsay
English | 2013 | ISBN: 1118617908 | ISBN-13: 9781118617908 | 520 pages | PDF | 5,5 MB
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) by Jan G. De Gooijer
English | 2017 | ISBN: 3319432516 | 618 Pages | PDF | 12.12 MB