Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling

Nursel Koyuncu

Abstract


In this paper new exponential type estimators are suggested for estimating the population mean in stratified random sampling. The biases and mean square errors of the suggested estimators are obtained. Also an empirical study is carried out to show the properties of the proposed estimators.

Keywords


Ratio estimator; Exponential estimator; Mean square error; Efficiency; Stratified random sampling.

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DOI: http://dx.doi.org/10.18187/pjsor.v12i3.1172

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Title

Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling

Keywords

Ratio estimator; Exponential estimator; Mean square error; Efficiency; Stratified random sampling.

Description

In this paper new exponential type estimators are suggested for estimating the population mean in stratified random sampling. The biases and mean square errors of the suggested estimators are obtained. Also an empirical study is carried out to show the properties of the proposed estimators.

Date

2016-09-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 3, 2016



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810