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Modified Exponential Type Estimator for Population Mean Using Auxiliary Variables In Stratified Random Sampling

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  • Gamze Özel

Abstract

In this paper, a new exponential type estimator is developed in the stratified random sampling for the population mean using auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the optimum property of the suggested strategy. To judge the merits of the suggested class of estimators over others under the optimal condition, simulation study and real data applications are conducted. The results show that the introduced estimator is more efficient than the available ratio and product estimators, and the conventional unbiased estimator of stratified simple random sampling design.

Suggested Citation

  • Gamze Özel, 2015. "Modified Exponential Type Estimator for Population Mean Using Auxiliary Variables In Stratified Random Sampling," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 49-56, December.
    • Handle: RePEc:anm:alpnmr:v:3:y:2015:i:2:p:49-56
    DOI: http://dx.doi.org/10.17093/aj.2015.3.2.5000145484
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    References listed on IDEAS

    as
    1. Housila Singh & Rajesh Tailor & Sarjinder Singh & Jong-Min Kim, 2008. "A modified estimator of population mean using power transformation," Statistical Papers, Springer, vol. 49(1), pages 37-58, March.
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    More about this item

    Keywords

    Auxiliary Information; Efficiency; Exponential Type Estimates; Mean Squared Error; Stratified Random Sampling;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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