2016•Pakistan Journal of Statistics and Operation ResearchOpen access

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

Nursel Koyuncu

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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.

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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.

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Available 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.

Key concepts: Mathematics, Estimator, Stratified sampling, Population mean, Statistics, Mean squared error, Exponential type, Exponential function

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