The DOI matches its Crossref record.
Forecasting With Dynamic Regression Models.
Abstract
A Primer on ARIMA Models. A Primer on Regression Models. Rational Distributed Lag Models. Building Dynamic Regression Models: Model Identification. Building Dynamic Regression Models: Model Checking, Reformulation, and Evaluation. Intervention Analysis. Intervention and Outlier Detection and Treatment. Estimation and Forecasting. Dynamic Regression Models in a Vector ARMA Framework. Appendices. References. Index.
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Citations
Cited by
Booth, D. E. (1997) · Technometrics · doi:10.1080/00401706.1997.10485448 · Cited by 3,201
Structural Equation Modeling and Natural Systems
Grace, J. B. (2006) · doi:10.1017/cbo9780511617799 · Cited by 2,432
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
Weron, R. (2006) · doi:10.1002/9781118673362 · Cited by 708
Photovoltaic and solar power forecasting for smart grid energy management
Wan, C., Zhao, J., Song, Y., Xu, Z., Lin, J., & Hu, Z. (2015) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2015.00046 · Cited by 654
Luft, A. R., McCombe-Waller, S., Whitall, J., Forrester, L. W., Macko, R., Sorkin, J. D., Schulz, J. B., Goldberg, A. P., & Hanley, D. F. (2004) · JAMA · doi:10.1001/jama.292.15.1853 · Cited by 578
Metadata
- Authors
- Shumway, R. H., & Pankratz, A.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1993-06
- Volume
- 88
- Issue
- 422
- Pages
- 705
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2152725898
- Cited by
- 378
- References
- 0
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Forecasting With Dynamic Regression Models. https://app.cochat.ai/papers/10.2307/2290369
- The paper
- Shumway, R. H., & Pankratz, A. (1993). Forecasting With Dynamic Regression Models. Journal of the American Statistical Association. https://doi.org/10.2307/2290369
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.