Anzeige
Erschienen in:
2024 | OriginalPaper | Buchkapitel
10. Explanatory Time Series Models
verfasst von : Cynthia Fraser
Erschienen in: Business Statistics for Competitive Advantage with Excel and JMP
Verlag: Springer Nature Switzerland
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
An explanatory model from time series data allows us to identify performance drivers and forecast performance given specific driver values, just as regression models from cross sectional data do. When decision makers want to forecast future performance in the shorter term, a time series of past performance is used to identify drivers and fit a model. A time series model can be used to identify drivers whose variation over time is associated with later variation in performance over time.