Exponential Type Estimator for the Population Mean Under Ranked Set Sampling
Journal of Statistics Advances in Theory and Applications2021Vol. 25(1), pp. 1–12
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Abstract
We propose a new exponential type estimator for the population mean by adapting the estimator suggested by Kadilar [12] to the Ranked Set Sampling (RSS). Theoretically and numerically, we show that the proposed exponential type estimator is more efficient than the classical ratio estimator in the RSS and the estimator of Kadilar et al. [11].
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