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In this chapter, we present essential parts of time series analysis, with the objective of predicting or forecasting its future development. Predicting future behavior is generally more successful for stationary series, which do not change their stochastic characteristics as time proceeds. We develop and illustrate time series which are of both types, namely, covariance stationary and non-stationary.
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Kenett, R., Zacks, S., Gedeck, P. (2022). Time Series Analysis and Prediction. In: Modern Statistics. Statistics for Industry, Technology, and Engineering. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-07566-7_6
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DOI: https://doi.org/10.1007/978-3-031-07566-7_6
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Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-031-07565-0
Online ISBN: 978-3-031-07566-7
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