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A general class of mean estimators using mixture of auxiliary variables for two-phase sampling in the presence of non-response

Author

Listed:
  • Rahma Zubair
  • Zahoor Ahmad
  • Ummara Shahid

Abstract

In this paper we have proposed a general class of estimators for two-phase sampling to estimate the population mean in the case when non-responses occur at the first phase. Furthermore, several continuous and categorical auxiliary variable(s) have been simultaneously used while constructing the class. Also, it is assumed that the information on all auxiliary variables is not available for population, which is often the case. The expressions of the mean square error of the suggested class have been derived and several special cases of the proposed class have been identified. The empirical study has also been conducted.

Suggested Citation

  • Rahma Zubair & Zahoor Ahmad & Ummara Shahid, 2014. "A general class of mean estimators using mixture of auxiliary variables for two-phase sampling in the presence of non-response," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(4), pages 501-524, September.
    • Handle: RePEc:csb:stintr:v:15:y:2014:i:4:p:501-524
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    References listed on IDEAS

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    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.
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    Cited by:

    1. Khadija Fatima & Zahoor Ahmed & Abeeda Fatima, 2017. "Jackknife Replication Variance Estimation of Population Total Under Systematic Sampling With Varying Probabilities," Matrix Science Mathematic (MSMK), Zibeline International Publishing, vol. 1(1), pages 34-39, January.

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