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

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 Analysis and Forecasting  eBooks & eLearning

Posted by arundhati at Oct. 30, 2017
Time Series Analysis and Forecasting

Ignacio Rojas, "Time Series Analysis and Forecasting: Selected Contributions from the ITISE Conference"
2017 | ISBN-10: 3319287230 | 406 pages | EPUB | 6 MB
Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python by Theodore Petrou
English | 23 Oct. 2017 | ISBN: 1784393878 | ASIN: B06W2LXLQK | 538 Pages | AZW3 | 21.43 MB
Practical Time-Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python

Practical Time-Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python by Dr. Avishek Pal
English | 28 Sept. 2017 | ISBN: 1788290224 | ASIN: B072L12QY6 | 244 Pages | AZW3 | 8.31 MB
Topics in Nonlinear Time Series Analysis: With Implications for EEG Analysis (Repost)

Andreas Galka, "Topics in Nonlinear Time Series Analysis: With Implications for EEG Analysis"
English | ISBN: 9810241488 | 2000 | 360 pages | PDF | 27 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
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.

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

Posted by AvaxGenius at July 29, 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 | EPUB | 2017 | 567 Pages | ISBN : 3319524518 | 9.66 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.