2013•AIP conference proceedingsRequires access

Efficient combined estimators of population mean using auxiliary attribute under stratified random sampling

Nursel Koyuncu

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Abstract

This paper deals with the problem of estimating the finite population mean when information on auxiliary attribute is available under stratified random sampling scheme. New exponential type estimators are introduced. Mean square error formula is derived. The efficiency comparison has been made by using a real data.

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What this paper is about

This paper deals with the problem of estimating the finite population mean when information on auxiliary attribute is available under stratified random sampling scheme. New exponential type estimators are introduced. Mean square error formula is derived. The efficiency comparison has been made by using a real data.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper deals with the problem of estimating the finite population mean when information on auxiliary attribute is available under stratified random sampling scheme. New exponential type estimators are introduced. Mean square error formula is derived. The efficiency comparison has been made by using a real data.

Key concepts: Stratified sampling, Estimator, Population mean, Statistics, Mean squared error, Mathematics, Sampling (signal processing), Population

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