期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2019
卷号：18
期号：2
页码：22-37
DOI：10.22237/jmasm/1604189700
出版社：Wayne State University
摘要：A practical unbalanced Ranked Set Sampling (RSS) model is proposed to estimate the population mean of positively skewed distributions. The gains in the relative precisions of the population mean based on the proposed model for chosen distributions are uniformly higher than those based on balanced RSS and the t-model proposed in Kaur et al. (1997). The relative precisions of the simple unequal allocation model are, with one exception, better than (s, t)-model which is better than t-model. The relative precision of the proposed model is very close or equal to the optimal Neyman allocation model.
关键词：Gamma distribution; lognormal distribution; Pareto distribution; relative precision; skew distributions with heavy right tails; unbiased estimator; unequal allocation model; Weibull distribution
