Comparison of the Iterative Stein-Rule and the Usual Estimators of the Disturbance Variance Under the Pitman Nearness Criterion in a Linear Regression Model with Proxy Variables
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Publication:4929206
DOI10.1080/03610926.2011.593287zbMath1294.62159OpenAlexW2123131150MaRDI QIDQ4929206
Publication date: 13 June 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.593287
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Cites Work
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- Inadmissibility of the iterative Stein-rule estimator of the disturbance variance in a linear regression
- Comparison of the Stein and the usual estimators for the regression error variance under the Pitman nearness criterion when variables are omitted
- MSE dominance of least squares with errors-of-observation
- Pitman nearness comparisons of Stein-type estimators for regression coefficients in replicated experiments
- PMSE performance of the Stein-rule and positive-part Stein-rule estimators in a regression model with or without proxy variables
- Pitman Nearness and Concentration Probability Comparisons of the Sample Coefficient of Determination and Its Adjusted Version in Linear Regression Models
- A Comparison of james–sten regression with least squares in the pitman nearness sense
- Performance of the 2SHI estimator under the generalised pitman nearness criterion
- Pitman Nearness Comparison of the Traditional Estimator of the Coefficient of Determination and Its Adjusted Version in Linear Regression Models
- Relative Asymptotic Bias from Errors of Omission and Measurement
- A Note on the Use of Proxy Variables
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