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

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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.

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The author declares that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Statistics, University of Lucknow, Lucknow, Uttar Pradesh, India

    Shashi Bhushan

  2. Department of Management, Galgotias University, Greater Noida, Uttar Pradesh, India

    Shailja Pandey

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  1. Shashi Bhushan
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  2. Shailja Pandey
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Correspondence to Shailja Pandey.

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Bhushan, S., Pandey, S. An effective computational and simulation study for population mean estimation on current occasion. Qual Quant (2024). https://doi.org/10.1007/s11135-024-01928-4

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