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首页> 外文期刊>Communications in Statistics. A, Theory and Methods >On Bivariate Ranked Set Sampling for Distribution and Quantile Estimation and Quantile Interval Estimation Using Ratio Estimator
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On Bivariate Ranked Set Sampling for Distribution and Quantile Estimation and Quantile Interval Estimation Using Ratio Estimator

机译:关于双变量排名的分配和定量估计和使用比率估计的分量间隔估计的抽样

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摘要

As an extension to ranked set sampling (RSS), bivariate ranked set sampling (BVRSS) was introduced by Al-Saleh and Zheng [Al-Saleh, M. F., Zheng, G. (2002). Estimation of bivariate characteristics using ranked set sampling. Aust. New Zealand J. Statist. 44∶221-232] for multiple characteristics estimation. In this paper, BVRSS is investigated for estimating the joint and the marginal distribution functions using direct method of estimation. The estimation of a population quantiles of two characteristics based BVRSS, for given values of probability (p) using direct method of estimation, is investigated. Also, quantiles and quantiles intervals estimation, based on BVRSS, using ratio estimator is presented. It turns out that all the suggested estimators in this paper are more efficient than the corresponding estimators obtained by using bivariate SRS and the ordinary RSS with concomitant variable. Finally, the proposed methods are illustrated using real data set of the trees.
机译:作为排名设定采样(RSS)的扩展,通过Al-Saleh和Zheng [Al-Saleh,M. F.,Zheng,G.(2002),引入了一分变焦排名集采样(BVRS)。使用排名集采样估计双变量特征。呃。新西兰J.统计数据。 44:221-232]对于多种特征估计。在本文中,研究了BVRSS使用直接估计方法估计关节和边缘分布函数。研究了使用直接估计方法的基于两个特征的基于BVRS的人群量数的估计,用于使用直接估计的概率(P)。此外,呈现了使用比率估计器的基于BVRS的量级和定量间隔估计。事实证明,本文中的所有建议的估算器比使用二元SRS和普通RSS获得的相应估计值更有效,并且具有伴随变量的普通RS。最后,使用树的真实数据集来说明所提出的方法。

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