Estimators for the population mean in the case of missing data

Cem Kadilar; Hulya Cingi

doi:10.1080/03610920701855020

Estimators for the population mean in the case of missing data

Cem Kadilar
, Hulya Cingi

Hacettepe University

Research output: Contribution to journal › Article › peer-review

54 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	2226-2236
Number of pages	11
Journal	Communications in Statistics - Theory and Methods
Volume	37
Issue number	14
DOIs	https://doi.org/10.1080/03610920701855020
Publication status	Published - Jan 2008

Keywords

Efficiency
Missing data
Ratio-type estimator
Regression estimator
Simple random sampling

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10.1080/03610920701855020

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KW - Regression estimator

KW - Simple random sampling

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Estimators for the population mean in the case of missing data

Abstract

Keywords

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