Estimators for the population mean in the case of missing data


KADILAR C., ÇINGI H.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.37, sa.14, ss.2226-2236, 2008 (SCI-Expanded) identifier identifier

Özet

We propose a class of estimators for the population mean when there are missing data in the data set. Obtaining the mean square error equations of the proposed estimators, we show the conditions where the proposed estimators are more efficient than the sample mean, ratio-type estimators, and the estimators in Singh and Horn (2000) and Singh and Deo (2003) in the case of missing data. These conditions are also supported by a numerical example.