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A Note on Regression When There is Extraneous Information About One of the Coefficients
Abstract
(1953). A Note on Regression When There is Extraneous Information About One of the Coefficients. Journal of the American Statistical Association: Vol. 48, No. 264, pp. 799-808.
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“First, Eq. (2) can be fitted subject to linear equality restrictions, which would reduce the number of parameters to be estimated [56,57].”
From Syndemics and Health Disparities: A Methodological Note (2016) · cites this paper as [56]
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Metadata
- Authors
- Durbin, J.
- Affiliations
- London School of Economics and Political Science (GB)
- Corresponding author
- Durbin, J.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1953-12
- Volume
- 48
- Issue
- 264
- Pages
- 799-808
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1983547829
- Cited by
- 143
- References
- 3
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 1 · 2020: 4 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 3 · 2015: 5 · 2014: 7 · 2013: 5 · 2012: 2
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Statistical Association (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- regression analysis, extraneous information, Bayesian regression, prior distributions, parameter estimation
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