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Improved separate ratio exponential estimator for population mean using auxiliary information

Author

Listed:
  • Lakshmi N. Upadhyaya
  • Rohini Yadav
  • Housila P. Singh
  • S. Chatterjee

Abstract

This paper advocates the improved separate ratio exponential estimator for population mean Y of the study variable y using the information based on auxiliary variable x in stratified random sampling. The bias and mean squared error (MSE) of the suggested estimator have been obtained upto the first degree of approximation. The theoretical and numerical comparisons are carried out to show the efficiency of the suggested estimator over sample mean estimator, usual separate ratio and separate product estimator.

Suggested Citation

  • Lakshmi N. Upadhyaya & Rohini Yadav & Housila P. Singh & S. Chatterjee, 2011. "Improved separate ratio exponential estimator for population mean using auxiliary information," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(2), pages 401-412, October.
    • Handle: RePEc:csb:stintr:v:12:y:2011:i:2:p:401-412
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    References listed on IDEAS

    as
    1. Housila P. Singh & Gajendra K. Vishwakarma, 2010. "A general procedure for estimating the population mean in stratified sampling using auxiliary information," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 47-65.
    2. Nursel Koyuncu & Cem Kadilar, 2010. "On improvement in estimating population mean in stratified random sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 999-1013.
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    Cited by:

    1. Rajesh Singh & Sachin Malik & Viplav K. Singh, 2014. "An Improved Estimator for Population Mean Using Auxiliary Information in Stratified Random Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(1), pages 59-66, January.

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