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引用次数: 0
摘要
本文介绍了从多个二元总体中引入单元的排序集抽样方法。当从一个形状参数为a 1的二元Pareto总体中抽取一个大小为n 1的样本，并从另一个形状参数为a 2的二元Pareto总体中抽取一个大小为n 2的样本，使得n = n 1 + n 2时，讨论了基于n个排序集观测值的两个二元Pareto分布的一个公共参数的最佳线性无偏估计。并以实际数据说明了本文结果的应用。
Induced Ranked Set Sampling when Units are Inducted from Several Populations
The method of ranked set sampling when units are to be inducted from several bivariate populations is introduced in this work. The best linear unbiased estimation of a common parameter of two bivariate Pareto distributions is discussed based on the n ranked set observations, when a sample of size n 1 is drawn from a bivariate Pareto population with shape parameter a 1 and a sample of size n 2 is drawn from another bivariate Pareto with shape parameter a 2 such that n = n 1 + n 2 . The application of the results of this paper is illustrated with a real life data.
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