Time Series Modelling
- PMID: 34573788
- PMCID: PMC8467401
- DOI: 10.3390/e23091163
Time Series Modelling
Abstract
Time series consist of data observed sequentially in time, and they are assumed to stem from an underlying stochastic process [...].
Keywords: models; time series.
Conflict of interest statement
The author declares no conflict of interest.
References
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- Nie S.Y., Wu X.Q. A historical study about the developing process of the classical linear time series models. In: Yin Z., Pan L., Fang X., editors. Proceedings of the Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA); Huangshan, China. 12–14 July 2016; Berlin/Heidelberg, Germany: Springer; 2013. pp. 425–433.
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- Box G.E.P., Jenkins G.M. Time Series Analysis: Forecasting and Control. 1st ed. Holden-Day; San Francisco, CA, USA: 1970.
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