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Double Median Ranked Set Sample: Comparing To Other Double Ranked Samples For Mean And Ratio Estimators

机译:双中位数排序样本:与平均和比率估计的其他双排序样本进行比较

摘要

Double median ranked set sample (DMRSS) and its properties for estimating the population mean, when the underlying distribution is assumed to be symmetric about its mean, are introduced. Also, the performance of DMRSS with respect to other ranked set samples and double ranked set samples, for estimating the population mean and ratio, is considered. Real data that consist of heights and diameters of 399 trees are used to illustrate the procedure. The analysis and simulation indicate that using DMRSS for estimating the population mean is more efficient than using the other ranked samples and double ranked samples schemes except in case of uniform distribution. Also, using double sampling schemes substantially increase the relative efficiency of ratio estimators relative to their counterpart schemes of one stage samples. Moreover, DMRSS is superior to other double sampling schemes for ratio estimation.
机译:当假定基本分布关于其均值对称时,引入双中位数排序集样本(DMRSS)及其用于估计总体均值的属性。另外,考虑了DMRSS对于其他等级集合样本和双重等级集合样本的性能,以估计总体均值和比率。包括399棵树的高度和直径的实际数据用于说明该过程。分析和仿真表明,使用DMRSS估计总体均值比使用其他排序样本和双排序样本方案更有效,除非分布均匀。而且,使用双重采样方案相对于一级样本的比率估算器而言,实质上提高了比率估算器的相对效率。而且,DMRSS在比率估计方面优于其他双采样方案。

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