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- W1980763893 abstract "Summary We discuss the problem of estimating finite population parameters on the basis of a sample containing representative outliers. We clarify the motivation for Chambers's bias-calibrated estimator of the population total and show that bias calibration is a key idea in constructing estimators of finite population parameters. We then link the problem of estimating the population total to distribution function or quantile estimation and explore a methodology based on the use of Chambers's estimator. We also propose methodology based on the use of robust estimates and a bias-calibrated form of the Chambers and Dunstan estimator of the population distribution function. This proposal leads to a bias-calibrated estimator of the population total which is an alternative to that of Chambers. We present a small simulation study to illustrate the utility of these estimators." @default.
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- W1980763893 date "1998-07-01" @default.
- W1980763893 modified "2023-10-02" @default.
- W1980763893 title "Bias-calibrated Estimation from Sample Surveys Containing Outliers" @default.
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- W1980763893 doi "https://doi.org/10.1111/1467-9868.00133" @default.
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