Academic Journal

Symbolic Time Series Analysis and Its Application in Social Sciences

Bibliographic Details
Title: Symbolic Time Series Analysis and Its Application in Social Sciences
Authors: Risso, Wiston Adrián
Source: MODID-6d55e02e354:IntechOpen
Publisher Information: IntechOpen
Publication Year: 2018
Subject Terms: Computers / Programming / Algorithms, bisacsh:COM051300
Description: The present chapter intents to present the symbolic time series analysis (STSA) reviewing the recent developments in sciences. Even if there are very few works applied to social sciences, STSA has a potential to be developed. In particular, due to the limitations about historical data, fields such as Economics and Finance need to develop statistical tests to prove their hypotheses. An independence test and a causality test based on STSA are reviewed. They seem to be more powerful, detecting different kinds of nonlinearities compared with the classical tests, usually applied in social sciences. However, there is much work to do with STSA, and social sciences are a fertile field for the development of new powerful tools.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISBN: 978-953-51-3742-9
953-51-3742-5
DOI: 10.5772/intechopen.70826
Availability: https://openresearchlibrary.org/viewer/89732826-837f-4512-aaee-ef9e67b348bd
https://openresearchlibrary.org/ext/api/media/89732826-837f-4512-aaee-ef9e67b348bd/assets/external_content.pdf
https://doi.org/10.5772/intechopen.70826
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.EC13A965
Database: BASE
Description
ISBN:9789535137429
9535137425
DOI:10.5772/intechopen.70826