Applied Econometric Time Series

Applied Econometric Time Series, 4 edition (Repost)  eBooks & eLearning

Posted by nebulae at Aug. 6, 2017
Applied Econometric Time Series, 4 edition (Repost)

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

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

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.

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 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.
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.
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction By Jesus Soto
English | PDF,EPUB | 2017 (2018 Edition) | 103 Pages | ISBN : 3319712632 | 9.15 MB

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired algorithms used for the optimization of the fuzzy response integrators.

Multivariate Time Series Analysis in Climate and Environmental Research  eBooks & eLearning

Posted by AvaxGenius at Nov. 13, 2017
Multivariate Time Series Analysis in Climate and Environmental Research

Multivariate Time Series Analysis in Climate and Environmental Research By Zhihua Zhang
English | PDF,EPUB | 2017 (2018 Edition) | 293 Pages | ISBN : 3319673394 | 7.8 MB

This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation.

Time Series Econometrics (Springer Texts in Business and Economics)  eBooks & eLearning

Posted by First1 at Nov. 7, 2017
Time Series Econometrics (Springer Texts in Business and Economics)

Time Series Econometrics (Springer Texts in Business and Economics) by Klaus Neusser
English | June 15th, 2016 | ISBN: 3319328611 | 426 Pages | EPUB | 5.75 MB

This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure.