The small sample properties of the restricted principal component regression estimator in linear regression model
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Publication:2979947
DOI10.1080/03610926.2015.1024867zbMath1360.62388OpenAlexW2556694902MaRDI QIDQ2979947
Publication date: 27 April 2017
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2015.1024867
Pitman's closeness criterionprincipal components regression estimatorrestricted principal components regression estimator
Cites Work
- Some comments on: Comparisons of the \(r\)-\(k\) class estimator to the ordinary least squares estimator under the Pitman's closeness criterion.
- Pitman closeness of record values to population quantiles
- Comparisons of the \(r\)-\(k\) class estimator to the ordinary least squares estimator under the Pitman's closeness criterion
- Pitman closeness of current records for location-scale families
- Comparison of Two Estimators of Parameters Under Pitman Nearness Criterion
- THE SMALL SAMPLE PROPERTIES OF THE PRINCIPAL COMPONENTS ESTIMATOR FOR REGRESSION COEFFICIENTS
- The pitman nearness criterion and its determination
- Principal components regression estimator and a test for the restrictions
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