Abstract
In this chapter, we describe some basic properties of stationary time series. Two fundamental approaches to time series analysis have been developed so far. One is the time-domain approach, and the other is the frequency-domain approach. In this book, we place the emphasis on the frequency-domain approach to analyzing stationary time series. Prediction problems, including interpolation and extrapolation problems, are discussed for stationary time series. In particular, we clarify the construction of a robust linear interpolator and extrapolator.
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© 2018 The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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Liu, Y., Akashi, F., Taniguchi, M. (2018). Introduction. In: Empirical Likelihood and Quantile Methods for Time Series. SpringerBriefs in Statistics(). Springer, Singapore. https://doi.org/10.1007/978-981-10-0152-9_1
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DOI: https://doi.org/10.1007/978-981-10-0152-9_1
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0151-2
Online ISBN: 978-981-10-0152-9
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