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Introduction to Statistical Time Series
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Citations
Cited by
Unit Root Tests in ARMA Models with Data-Dependent Methods for the Selection of the Truncation Lag
Ng, S., & Perron, P. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476510 · Cited by 1,457
Exposure measurement error in time-series studies of air pollution: concepts and consequences
Zeger, S. L., Thomas, D., Dominici, F., Samet, J. M., Schwartz, J., Dockery, D., & Cohen, A. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.00108419 · Cited by 1,156
Recursive patterns in online echo chambers
Brugnoli, E., Cinelli, M., Quattrociocchi, W., & Scala, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-56191-7 · Cited by 95
Metadata
- Authors
- Fuller, W. A.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1995-12-15
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W4293507940
- Cited by
- 851
- References
- 0
- FWCI
- 17.67
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Introduction to Statistical Time Series. https://app.cochat.ai/papers/10.1002/9780470316917
- The paper
- Fuller, W. A. (1995). Introduction to Statistical Time Series. Wiley Series in Probability and Statistics. https://doi.org/10.1002/9780470316917
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.