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Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016 /

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time ser...

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Corporate Author: SpringerLink (Online service)
Other Authors: Rojas, Ignacio. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pomares, Héctor. (Editor, http://id.loc.gov/vocabulary/relators/edt), Valenzuela, Olga. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Contributions to Statistics,
Subjects:
Statistics .
Econometrics.
Mathematical statistics.
Probabilities.
Statistics for Business, Management, Economics, Finance, Insurance.
Probability and Statistics in Computer Science.
Probability Theory and Stochastic Processes.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Online Access:https://doi.org/10.1007/978-3-319-55789-2
Table of Contents:
  • Preface
  • Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies
  • Scientific Contributions
  • Part II: Multi-scale Analysis of Univariate and Multivariate Time Series
  • Scientific Contributions
  • Part III: Linear and Non-linear Time Series Models
  • Scientific Contributions
  • Part IV: Advanced Time Series Forecasting Methods
  • Scientific Contributions
  • Part V: Applications in Time Series Analysis and Forecasting
  • Scientific Contributions
  • Author Index.

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