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Best linear unbiased estimators of population mean on current occasion in two-occasion rotation patterns

Author

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  • S. Prasad
  • G. N. Singh

Abstract

Best linear unbiased estimators have been proposed to estimate the population mean on current occasion in two-occasion successive (rotation) sampling. Behavior of the proposed estimators have been studied and their respective optimum replacement policies are discussed. Empirical studies are carried out to examine the performance of the proposed estimators and consequently the suitable recommendations are made.

Suggested Citation

  • S. Prasad & G. N. Singh, 2013. "Best linear unbiased estimators of population mean on current occasion in two-occasion rotation patterns," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 57-74, March.
    • Handle: RePEc:csb:stintr:v:14:y:2013:i:1:p:57-74
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    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v14_2013_i1_n5.pdf
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    References listed on IDEAS

    as
    1. Garib Nath Singh & Jaishree Prabha Karna, 2009. "Estimation of population mean on current occasion in two-occasion successive sampling," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 87-103.
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    Cited by:

    1. Shashi Bhushan & Shailja Pandey, 2024. "Optimal Random Non Response Frameworks for Mean Estimation on Current Occasion," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(2), pages 604-668, November.

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