The Estimator for Geometric Mean of Ranked Set Sample for Normal Distribution
In this study, an estimator for geometric mean of population in ranked set sampling design is developed. Ranked set sampling is a set of sampling units which is drawn from population that can be ranked by using another certain mean without the actual measurement of the variable of interest which is to measure this variable is more costly and time consuming. The study investigates the bias and relative efficiency of the proposed estimator and the efficiency comparison is made for normal distribution. It is shown that the new estimators out perform its competitor in the literature.
Keywords: Ranked Set Sampling, Simple Random Sampling, Geometric Mean, Relative Efficiency
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