Nonparametric meta-analysis of independent samples of records

被引：7
|
作者：
Amini, Morteza [1 ]
Balakrishnan, N. [2 ,3 ]
机构：
[1] Univ Tehran, Coll Sci, Sch Math Stat & Comp Sci, Dept Stat, Tehran, Iran
[2] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada
[3] King Abdulaziz Univ, Dept Stat, Jeddah 21413, Saudi Arabia
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2013年 / 66卷
关键词：
Dependent variables; Inverse sampling; Lower records; Minimal repair system; Nonparametric confidence intervals; Order statistics; Prediction intervals; Upper records; GENERALIZED ORDER-STATISTICS; FREE CONFIDENCE-INTERVALS; RANKED SET SAMPLES; TOLERANCE INTERVALS; QUANTILE INTERVALS; VALUES; DISTRIBUTIONS; PREDICTION; TERMS;
D O I：
10.1016/j.csda.2013.03.019
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Consider k >= 1 independent samples, each with a certain number of record values. The resulting pooled sample of records can be re-ordered to develop exact nonparametric inferential procedures. The distribution theory of such ordered multi-sample record values is developed in this paper. The ordered record sample is then used to present exact distribution-free confidence intervals for quantiles of the population, and also to develop exact prediction intervals for future record values. A real data set is finally used to illustrate the results developed here. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：70 / 81
页数：12
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