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Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations

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  • B. Kiregyera

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  • 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.
  • Handle: RePEc:spr:metrik:v:31:y:1984:i:1:p:215-226
    DOI: 10.1007/BF01915203
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    Cited by:

    1. U. Srivastava & K. Kumar & B. B. Khare, 2012. "Chain ratio estimator for the population mean in the presence of non-response," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(3), pages 495-518, December.
    2. 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.
    3. B. K. Singh & S. Choudhury, 2012. "A class of chain ratio-cum-dual to ratio type estimator with two auxiliary characters under double sampling in sample surveys," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(3), pages 519-536, December.
    4. G. Diana & C. Tommasi, 2003. "Optimal estimation for finite population mean in two-phase sampling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 12(1), pages 41-48, February.
    5. Thakur Narendra Singh & Shukla Diwakar, 2022. "Missing data estimation based on the chaining technique in survey sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 23(4), pages 91-111, December.
    6. Housila P. Singh & Gajendra K. Vishwakarma, 2007. "A general class of estimators in successive sampling," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 201-227.
    7. Singh Housila P. & Espejo M. Ruiz, 2000. "An Improved Class Of Chain Regression Estimators In Two Phase Sampling," Statistics & Risk Modeling, De Gruyter, vol. 18(2), pages 205-218, February.

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