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
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) [Repost]

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) by Jan G. De Gooijer
English | 20 Apr. 2017 | ISBN: 3319432516 | 642 Pages | PDF | 14.34 MB

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a “theorem-proof” format,

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

Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series  eBooks & eLearning

Posted by Underaglassmoon at June 26, 2016
Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series

Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series
Springer | Green Energy | July 23, 2016 | ISBN-10: 3319387634 | 98 pages | pdf | 5.72 mb

Authors: Fortuna, Luigi, Nunnari, Giuseppe, Nunnari, Silvia
Shows the researcher and practising engineer how to use time-series forecasting to help integrate intermittent sources of renewable power into the grid
Teaches students the essentials of applied time-series analysis
Provides the reader with software package and data set that helps put the methods described into practice
State-Space Methods for Time Series Analysis: Theory, Applications and Software

Jose Casals and Alfredo Garcia-Hiernaux, "State-Space Methods for Time Series Analysis: Theory, Applications and Software"
English | ISBN: 148221959X | 2016 | 298 pages | PDF | 8 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