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Some Chain-type Exponential Estimators of Population Mean in Two-Phase Sampling

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  • G. N. Singh
  • D. Majhi

Abstract

Using the information on two-auxiliary variables, three different exponential chain-type estimators of population mean of study variable have been proposed in two-phase (double) sampling. Properties of the proposed estimators have been studied and their performances are examined with respect to several well known chain-type estimators. Empirical studies are carried out to support the theoretical results.

Suggested Citation

  • G. N. Singh & D. Majhi, 2014. "Some Chain-type Exponential Estimators of Population Mean in Two-Phase Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(2), pages 221-230, March.
    • Handle: RePEc:csb:stintr:v:15:y:2014:i:2:p:221-230
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    References listed on IDEAS

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    1. B. Kiregyera, 1984. "Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 31(1), pages 215-226, December.
    2. Sat Gupta & Javid Shabbir, 2008. "On improvement in estimating the population mean in simple random sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(5), pages 559-566.
    3. B. Kiregyera, 1980. "A chain ratio-type estimator in finite population double sampling using two auxiliary variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 217-223, December.
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    Cited by:

    1. G. N. Singh & Amod Kumar & Gajendra K. Vishwakarma, 2018. "Development Of Chain-Type Exponential Estimators For Population Variance In Twophase Sampling Design In Presence Of Random Non-Respons," Statistics in Transition New Series, Polish Statistical Association, vol. 19(4), pages 575-596, December.

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