The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED
WELCH, B. L. (1947) · Biometrika · doi:10.1093/biomet/34.1-2.28 · Cited by 4,135
IV.—On Least Squares and Linear Combination of Observations
Aitken, A. C. (1936) · Proceedings of the Royal Society of Edinburgh · doi:10.1017/s0370164600014346 · Cited by 950
THE DEMAND FOR FOOD IN THE UNITED KINGDOM BEFORE THE WAR
Stone, R. (1951) · Metroeconomica · doi:10.1111/j.1467-999x.1951.tb00074.x · Cited by 9
Research works printed but not linked: 1
- Welch B. L., 1947, Biometrika, 34, 28
Cited by
Sorted by citations
Items 101–144 of 144
Tonini, A., & Jongeneel, R. A. (2005) · Socio-Environmental Systems Modeling · Cited by 1
Effective Job Search Practice in the UK's Mandatory Welfare-to-Work Programme for YouthPreprint
White, M. (2004) · RePEc: Research Papers in Economics · Cited by 1
An Alternative Estimator of the Variance of the Disturbance Term in Extraneous and Mixed Estimation
Bodkin, R. G., & Raj, B. (1985) · International Economic Review · doi:10.2307/2526527 · Cited by 1
The Black-Litterman Model: Wrong Views v.s. Opportunity CostPreprint
Yanou, G. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1722237 · Cited by 1
Fomby, T. B., Johnson, S. R., & Hill, R. C. (1984) · Springer eBooks · doi:10.1007/978-1-4419-8746-4_6 · Cited by 1
Tratamiento de predicciones conflictivas: empleo eficiente de información extramuestral
Alvárez, L. J., Morago, J. J., & Delrieu, J. C. (1992) · Documentos de trabajo del Banco de España
Treatment of conflictive forecasts: efficient use of non-sample informationPreprint
Alvárez, L. J., Delrieu, J. C., & Jareño, J. (1992) · RePEc: Research Papers in Economics
Inequality Constraints: Linking Theoretical Results To System Identification
Parti, M., & Sebald, A. V. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1990.692073
Kennedy, P. (1987) · International series in economic modeling · doi:10.1007/978-94-009-3271-5_12
THE RISE AND FALL OF EXTRANEOUS ESTIMATION: LESSONS FROM ECONOMETRIC HISTORY?
Buse, A. (2003) · Econometric Theory · doi:10.1017/s0266466603191049
MULTICOLLINEARITY AND CONSUMER DEMAND ELASTICITIES*
Sastry, M. V. R. (1969) · Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · doi:10.1111/j.1744-7976.1969.tb02469.x
Chapter III: Regression and Correlation
Hoyt, C. J., & Johnson, M. C. (1954) · Review of Educational Research · doi:10.3102/00346543024005393
The reconstruction of index data in aggregative econometric models
Ho, D. S. (1979) · Journal of Econometrics · doi:10.1016/0304-4076(79)90088-5
Hm, J. (1990) · PubMed
Heike, H.-D. (1970) · Statistische Hefte · doi:10.1007/bf02922292
Modelling Interest Rates in the Long RunPreprint
Mauleón, I. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2336731
Maximum likelihood estimators in linear regression models with Ornstein-Uhlenbeck process
Hu, H., Pan, X., & Xu, L. (2014) · Journal of Inequalities and Applications · doi:10.1186/1029-242x-2014-301
Furnee, C. A., Pfann, G. A., & Kemler, M. A. (2003) · De Economist · doi:10.1023/a:1023964102139
Modeling the Primary Dairy Sectors of Hungary and Poland
Tonini, A., & Jongeneel, R. A. (2005)
Czaplicki, J. M. (2013) · CRC Press eBooks · doi:10.1201/b16388-11
Qin, D. (1997) · doi:10.1093/0198292872.003.0008
Qin, D. (1997) · doi:10.1093/0198292872.003.0007
Comparison of Two Estimators of the Regression Coefficient Vector Under Pitman’s Closeness Criterion
Wu, J. (2020) · Frontiers in artificial intelligence and applications · doi:10.3233/faia200695
The Identity Fragmentation BiasPreprint
Lin, T., & Misra, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.12849
(1992) · Wiley series in probability and statistics · doi:10.1002/9780470316856.refs
Cyclic systems—selected problems
Czaplicki, J. M. (2009) · CRC Press eBooks · doi:10.1201/b10827-12
Diagnostic measures for the restricted Liu estimator in linear measurement error models
Ghapani, F., & Babadi, B. (2022) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2022.2026355
Qin, D. (1997) · doi:10.1093/0198292872.003.0004
Qin, D. (1997) · doi:10.1093/0198292872.003.0006
Qin, D. (1997) · doi:10.1093/0198292872.003.0005
Qin, D. (1997) · doi:10.1093/0198292872.003.0001
Qin, D. (1997) · doi:10.1093/0198292872.003.0003
(1968) · Elsevier eBooks · doi:10.1016/b978-0-08-011849-9.50013-7
Stochastic Restricted Estimation of Linear Regression Models with Missing Responses
李, 静. (2022) · Pure Mathematics · doi:10.12677/pm.2022.1212241
Al-Dulaimi, R. J. H., & Alheety, M. I. (2023) · AIP conference proceedings · doi:10.1063/5.0162424
Using Corrected Biased for Developing New Weighted Mixed Estimator for Linear Regression Model
Hayani, M. H. E. A., & Alheety, M. I. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-70924-1_39
Şiray, G. Ü. (2024) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2024.2440823
The modified liu estimator: An innovative model for stochastic restricted linear regression
Al-Obaidi, D. J., & Alheety, M. I. (2026) · AIP conference proceedings · doi:10.1063/5.0328057
A Preliminary Model of the Hydrologic-Sociologic Flow System of an Urban Area
Andrews, W. H., Riley, J. P., Colton, C. W., Shih, G. B., & Masteller, M. B. (1973) · Digital Commons - USU (Utah State University)
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
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review