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Cited by 15Time Series Analysis and ForecastingStatistical Methods and ApplicationsStatistical and numerical algorithms

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

Shumway, Robert H., Stoffer, David S.·2017·Springer Texts in Statistics

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-52452-8_2

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Show all 18 references

Research works printed but not linked: 4

  1. Mallows CL (1973) Some comments on C p . Technometrics 15:661–675
  2. McQuarrie ADR, Tsai C-L (1998) Regression and time series model selection World Scientific, Singapore
  3. Shumway RH, Verosub KL (1992) State space modeling of paleoclimatic time series. In: Pro. 5th int. meeting stat. climatol., Toronto, pp. 22–26, June, 1992
  4. Watson GS (1966) Smooth regression analysis. Sankhya 26:359–378

Cited by

See all 15

Metadata

Authors
Shumway, R. H., & Stoffer, D. S.
Affiliations
  • University of California, Davis (US)
  • University of Pittsburgh (US)
Venue
Springer Texts in Statistics
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
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

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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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.