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.
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页码：2256 / 2268
页数：13
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