Improved predictors in survey sampling under a super population model
This paper considers the estimation of population mean under a super population model and presents a class of improved estimators. Dominance of this class over the conventional unbiased estimator with respect to predictive mean squared error is studied and a simple condition is deduced. Unbiased estimation of the bias and efficiency gain is also discussed.
Year of publication: |
1995
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Authors: | Srivastava, A. K. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 25.1995, 3, p. 249-252
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Publisher: |
Elsevier |
Keywords: | Survey sampling Prediction Linear regression Super population Stein-rule estimation |
Saved in:
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