Confidence intervals for quantiles in finite populations with randomized nomination sampling

被引：8
|
作者：
Nourmohammadi, Mohammad [1 ]
Jozani, Mohammad Jafari [1 ]
Johnson, Brad C. [1 ]
机构：
[1] Univ Manitoba, Dept Stat, Winnipeg, MB R3T 2N2, Canada
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2014年 / 73卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Confidence interval; Finite population; Nomination sampling; Quantile;
D O I：
10.1016/j.csda.2013.11.020
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Given a finite population consisting of N elements, it is desired to obtain confidence intervals for (t/N)th quantile x((t)) of the population based on the randomized nomination sampling (RNS) design. Three without replacement sampling protocols are described and procedures for constructing nonparametric confidence intervals for population quantiles are developed. Formulas for computing coverage probabilities for these confidence intervals are presented. Simulation studies are conducted and the performance of the RNS based confidence intervals is compared with those based on the simple random sample without replacement design. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：112 / 128
页数：17
相关论文
共 50 条
12345