↓ Skip to main content

Time Series Analysis and Forecasting

Overview of attention for book
Cover of 'Time Series Analysis and Forecasting'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Direct Method for the Langevin-Analysis of Multidimensional Stochastic Processes with Strong Correlated Measurement Noise
  3. Altmetric Badge
    Chapter 2 Threshold Autoregressive Models for Directional Time Series
  4. Altmetric Badge
    Chapter 3 Simultaneous Statistical Inference in Dynamic Factor Models
  5. Altmetric Badge
    Chapter 4 The Relationship Between the Beveridge–Nelson Decomposition and Exponential Smoothing
  6. Altmetric Badge
    Chapter 5 Permutation Entropy and Order Patterns in Long Time Series
  7. Altmetric Badge
    Chapter 6 Generative Exponential Smoothing and Generative ARMA Models to Forecast Time-Variant Rates or Probabilities
  8. Altmetric Badge
    Chapter 7 First-Passage Time Properties of Correlated Time Series with Scale-Invariant Behavior and with Crossovers in the Scaling
  9. Altmetric Badge
    Chapter 8 The Environmental Impact of Economic Activity on the Planet
  10. Altmetric Badge
    Chapter 9 Stock Indices in Emerging and Consolidated Economies from a Fractal Perspective
  11. Altmetric Badge
    Chapter 10 Value at Risk with Filtered Historical Simulation
  12. Altmetric Badge
    Chapter 11 A SVEC Model to Forecast and Perform Structural Analysis (Shocks) for the Mexican Economy, 1985Q1–2014Q4
  13. Altmetric Badge
    Chapter 12 Intraday Data vs Daily Data to Forecast Volatility in Financial Markets
  14. Altmetric Badge
    Chapter 13 Predictive and Descriptive Qualities of Different Classes of Models for Parallel Economic Development of Selected EU-Countries
  15. Altmetric Badge
    Chapter 14 Search and Evaluation of Stock Ranking Rules Using Internet Activity Time Series and Multiobjective Genetic Programming
  16. Altmetric Badge
    Chapter 15 Integer-Valued APARCH Processes
  17. Altmetric Badge
    Chapter 16 Emergency-Related, Social Network Time Series: Description and Analysis
  18. Altmetric Badge
    Chapter 17 Competitive Models for the Spanish Short-Term Electricity Demand Forecasting
  19. Altmetric Badge
    Chapter 18 Age-Specific Death Rates Smoothed by the Gompertz–Makeham Function and Their Application in Projections by Lee–Carter Model
  20. Altmetric Badge
    Chapter 19 An Application of Time Series Analysis in Judging the Working State of Ground-Based Microwave Radiometers and Data Calibration
  21. Altmetric Badge
    Chapter 20 Identifying the Best Performing Time Series Analytics for Sea Level Research
  22. Altmetric Badge
    Chapter 21 Modellation and Forecast of Traffic Series by a Stochastic Process
  23. Altmetric Badge
    Chapter 22 Spatio-Temporal Modeling for fMRI Data
  24. Altmetric Badge
    Chapter 23 Communicating Artificial Neural Networks with Physical-Based Flow Model for Complex Coastal Systems
  25. Altmetric Badge
    Chapter 24 Forecasting Daily Water Demand Using Fuzzy Cognitive Maps
  26. Altmetric Badge
    Chapter 25 Forecasting Short-Term Demand for Electronic Assemblies by Using Soft-Rules
  27. Altmetric Badge
    Chapter 26 Electrical Load Forecasting: A Parallel Seasonal Approach
  28. Altmetric Badge
    Chapter 27 A Compounded Multi-resolution-Artificial Neural Network Method for the Prediction of Time Series with Complex Dynamics
  29. Altmetric Badge
    Chapter 28 Erratum to: Stock Indices in Emerging and Consolidated Economies from a Fractal Perspective
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Time Series Analysis and Forecasting
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28725-6
ISBNs
978-3-31-928723-2, 978-3-31-928725-6
Editors

Ignacio Rojas, Héctor Pomares

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 23%
Student > Master 6 23%
Student > Bachelor 6 23%
Other 2 8%
Student > Doctoral Student 2 8%
Other 4 15%
Readers by discipline Count As %
Unspecified 6 23%
Engineering 5 19%
Computer Science 4 15%
Social Sciences 2 8%
Agricultural and Biological Sciences 2 8%
Other 7 27%