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Estimation of the shape and scale parameters of Pareto distribution using ranked set sampling

机译:使用排序集抽样估计帕累托分布的形状和比例参数

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In the current paper, the estimation of the shape and location parameters α and c, respectively, of the Pareto distribution will be considered in cases when c is known and when both are unknown. Simple random sampling (SRS) and ranked set sampling (RSS) will be used, and several traditional and ad hoc estimators will be considered. In addition, the estimators of α, when c is known using an RSS version based on the order statistic that maximizes the Fisher information for a fixed set size, will be considered. These estimators will be compared in terms of their biases and mean square errors. The estimators based on RSS can be real competitors against those based on SRS.
机译:在当前论文中,将在c已知和未知的情况下分别考虑帕累托分布的形状和位置参数α和c的估计。将使用简单随机抽样(SRS)和排序集抽样(RSS),并将考虑几种传统的和临时的估计量。此外,将考虑使用α的估计量,当基于RSS统计基于已知的c统计量使用css版本时,该统计量将Fisher信息最大化以固定的集合大小。这些估计量将根据其偏差和均方误差进行比较。与基于SRS的估计相比,基于RSS的估计可能是真正的竞争者。

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