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

页码：70 / 81

页数：12

共 24 条

[1] Estimation and prediction in a two-parameter exponential distribution based on k-record values under LINEX loss function [J].