Title: Separate Ratio Estimators for the Population Variance in Stratified Random Sampling
Abstract: AbstractWe propose separate ratio estimators for population variance in stratified random sampling. We obtain mean square error equations and compare proposed estimators about efficiency with each other. By these comparisons, we find the conditions which make proposed estimators more efficient than others. It has been shown that proposed classes of estimators are more efficient than usual unbiased estimator. We find that separate ratio estimators are more efficient than combined ratio estimators for population variance. The theoretical results are supported by a numerical illustration with original data. A simulation study is also carried out to investigate empirical performance of estimators.Keywords: Separate ratio estimatorsVariance estimatorEfficiencyStratified random samplingMathematics Subject Classification: 62D05 AcknowledgmentsThe authors are thankful to the anonymous referees for their constructive comments and suggestions for the improvement of this article.
Publication Year: 2014
Publication Date: 2014-11-05
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 7
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