Nonparametric Prediction Intervals Based on Ranked Set Samples

被引：5

作者：

Vock, Michael ^{[1
]}

Balakrishnan, N. ^{[2
,3
]}

机构：

[1] Univ Bern, Inst Math Stat & Actuarial Sci, CH-3012 Bern, Switzerland

[2] McMaster Univ, Dept Math & Stat, Hamilton, ON, Canada

[3] Natl Cent Univ, Taipei, Taiwan

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2012年 / 41卷 / 12期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Generalized ranked set sample; Judgement error ranking; Nonparametric prediction interval; Ranked set sample; Ranking error;

D O I：

10.1080/03610926.2011.560738

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article, we develop nonparametric prediction intervals based on generalized ranked set samples using conditional as well as unconditional approaches. The predictions are developed for order statistics from a future sample as well as for order statistics from a future balanced ranked set sample. The effects of ranking errors on the coverage probabilities of these prediction intervals are also examined.

引用

页码：2256 / 2268

页数：13

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