Robust calibration estimators - ARCHIVED

Articles and reports: 12-001-X19990014711

Description:

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.

Issue Number: 1999001
Author(s): Duchesne, P.

Main Product: Survey Methodology

FormatRelease dateMore information
PDFOctober 8, 1999