Categorization of the dominance ranges of the proposed estimation strategies are deployed through defuzzication tools which are followed by suitable recommendations.
📌 3 Key Takeaways
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Objective & Hypothesis:This paper defines a general class of estimators for estimating population variance on current occasion in two occasion successive sampling.Detail behaviors of the proposed class of estimators have been studied and its optimum replacement strategy has also been discussed.
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Key Findings & Data:The proposed class of estimators has been compared with the sample variance estimator and the results obtained are demonstrated through empirical studies.
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Conclusion & Impact:Categorization of the dominance ranges of the proposed estimation strategies are deployed through defuzzication tools which are followed by suitable recommendations.
This paper defines a general class of estimators for estimating population variance on current occasion in two occasion successive sampling.Detail behaviors of the proposed class of estimators have been studied and its optimum replacement strategy has also been discussed. The proposed class of estimators has been compared with the sample variance estimator and the results obtained are demonstrated through empirical studies. Categorization of the dominance ranges of the proposed estimation strategies are deployed through defuzzication tools which are followed by suitable recommendations.
SİNGH, G., BANDYOPADHYAY, A., CHATTERJEE, A., MUKHOPADHYAY, P. (2022). A general procedure for estimating population variance in successive sampling using fuzzy tools. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 4, 695–712. https://ajindex.com/articles/529909
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