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What is Time Series Analysis

Encyclopedia of Information Science and Technology, Third Edition
The process of using statistical techniques to model and represent time-dependent series of data in temporal to extract meaningful characteristics.
Published in Chapter:
Emotion-Based Music Retrieval
C.H.C. Leung (Department of Computer Science, Hong Kong Baptist University, Hong Kong) and J. Deng (Department of Computer Science, Hong Kong Baptist University, Hong Kong)
Copyright: © 2015 |Pages: 11
DOI: 10.4018/978-1-4666-5888-2.ch015
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Causal Relationship between Foreign Direct Investment and Economic Growth: Evidence from Turkey
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. While regression analysis is often employed in such a way as to test theories that the current values of one or more independent time series affect the current value of another time series, this type of analysis of time series is not called “time series analysis”, which focuses on comparing values of a single time series at different points in time.
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