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An effective computational and simulation study for population mean estimation on current occasion

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  • Shashi Bhushan

    (University of Lucknow)

  • Shailja Pandey

    (Galgotias University)

Abstract

In general, successive sampling is the procedure to study the effect of the change in a characteristic on different occasions. We have suggested a new effective approach to analyze the estimate of population mean on current occasion under successive sampling. The properties of the proposed novel class under the suggested approach are derived by using optimum replacement policy. The superiority of the class is demonstrated through theoretical, numerical and simulation study. The simulation based mean square errors are computed under optimum unmatched proportion of their respective class of estimators. The suggested approach of estimation is fruitful for survey practitioners to handle large as well as small populations.

Suggested Citation

  • Shashi Bhushan & Shailja Pandey, 2025. "An effective computational and simulation study for population mean estimation on current occasion," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 147-174, February.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:1:d:10.1007_s11135-024-01928-4
    DOI: 10.1007/s11135-024-01928-4
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    References listed on IDEAS

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    1. Zoramthanga Ralte & Gitasree Das, 2015. "Ratio-To-Regression Estimator In Successive Sampling Using One Auxiliary Variable," Statistics in Transition New Series, Polish Statistical Association, vol. 16(2), pages 183-202, June.
    2. Haneen Badawi & Omar Abu Arqub & Nabil Shawagfeh, 2023. "Well-posedness and numerical simulations employing Legendre-shifted spectral approach for Caputo–Fabrizio fractional stochastic integrodifferential equations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-24, June.
    3. 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.
    4. 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.
    5. Haneen Badawi & Nabil Shawagfeh & Omar Abu Arqub & Kazem Nouri, 2022. "Fractional Conformable Stochastic Integrodifferential Equations: Existence, Uniqueness, and Numerical Simulations Utilizing the Shifted Legendre Spectral Collocation Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-21, November.
    6. Zoramthanga Ralte & Gitasree Das, 2015. "Ratio-to-regression estimator in successive sampling using one auxiliary variable," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 183-202, June.
    Full references (including those not matched with items on IDEAS)

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