Forecasting at Scale

Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection. Despite its importance, there are serious challenges associated with producing reliable and high-quality forecasts—especially when there are a variety of time series and an...

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Bibliographische Detailangaben

Veröffentlicht in:	The American statistician 2018-02, Vol.72 (1), p.37-45
Hauptverfasser:	Taylor, Sean J., Letham, Benjamin
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Forecasting Regression analysis Regression models Statistical methods Statistics Time series
Online-Zugang:	Volltext
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