The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Time Series Regression and Exploratory Data Analysis
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
A new look at the statistical model identification
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Estimating the Dimension of a Model
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On Information and Sufficiency
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Robust Locally Weighted Regression and Smoothing Scatterplots
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Regression and time series model selection in small samples
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Time Series Analysis: Forecasting and Control
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Modeling by shortest data description
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Remarks on Some Nonparametric Estimates of a Density Function
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AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
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Fitting autoregressive models for prediction
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Further analysis of the data by Akaike's information criterion and the finite corrections
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Applied Statistical Time Series Analysis
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Self-citationStatistical Analysis of Stationary Time-Series.
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Research works printed but not linked: 4
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Cited by
Taghiyeh, S., Lengacher, D. C., Sadeghi, A. H., Sahebi-Fakhrabad, A., & Handfield, R. (2023) · Supply Chain Analytics · doi:10.1016/j.sca.2023.100032 · Cited by 47
Inference with cross-lagged effects—Problems in time.
Driver, C. (2024) · Psychological Methods · doi:10.1037/met0000665 · Cited by 28
Computerized adaptive assessment of understanding of programming concepts in primary school children
Hogenboom, S. A. M., Hermans, F., & van der Maas, H. L. J. (2021) · Computer Science Education · doi:10.1080/08993408.2021.1914461 · Cited by 27
Examining EMF Time Series Using Prediction Algorithms With R
Pala, Z. (2021) · Canadian Journal of Electrical and Computer Engineering · doi:10.1109/icjece.2020.3037805 · Cited by 14
Wanjuki, T. M., Wagala, A., & Muriithi, D. K. (2021) · European Journal of Mathematics and Statistics · doi:10.24018/ejmath.2021.2.6.80 · Cited by 11
Metadata
- Authors
- Shumway, R. H., & Stoffer, D. S.
- Affiliations
- University of California, Davis (US)
- University of Pittsburgh (US)
- ORCID
- Stoffer, David S.
- Venue
- Springer Texts in Statistics
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 45-74
- ISSN
- 1431-875X (ISSN-L)
- 2197-4136
- OpenAlex
- W4232384326
- Cited by
- 13
- References
- 18
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2021: 7 · 2019: 1 · 2018: 1
- FWCI
- 1.10
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Springer texts in statistics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
- Keywords
- multiple linear regression, time series, model selection, non-stationary time series, detrending, differencing, variance stabilization, nonparametric smoothing
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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.