Robust calibration estimators - ARCHIVED
Articles and reports: 12-001-X19990014711
We consider the use of calibration estimators when outliers occur. An extension is obtained for the class of Deville and Särndal (1992) calibration estimators based on Wright (1983) QR estimators. It is also obtained by minimizing a general metric subject to constraints on the calibration variables and weights. As an application, this class of estimators helps us consider robust calibration estimators by choosing parameters carefully. This makes it possible, e.g., for cosmetic reasons, to limit robuts weights to a predetermined interval. The use of robust estimators with a high breakdown point is also considered. In the specific case of the mean square metric, the estimator proposed by the author is a generalization of a Lee (1991) proposition. The new methodology is illustrated by means of a short simulation study.
Main Product: Survey Methodology
Format | Release date | More information |
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October 8, 1999 |
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