Time series arise in many different contexts including minute-by-minute stock prices, hourly temperatures at a weather station, daily numbers of arrivals at a medical clinic, weekly sales of a product, monthly unemployment figures for a region, quarterly imports of a country, and annual turnover of a company. That is, time series arise whenever something is observed over time. While a time series may be observed either continuously or at discrete times, the focus of this book is on discrete time series that are observed at regular intervals over time.
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© 2008 Springer-Verlag Berlin Heidelberg
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(2008). Basic Concepts. In: Forecasting with Exponential Smoothing. Springer Series in Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71918-2_1
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DOI: https://doi.org/10.1007/978-3-540-71918-2_1
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-71918-2
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