Exact meta-analysis of several independent progressively type-II censored data

William Volterman; N. Balakrishnan; Erhard Cramer

doi:10.1016/j.apm.2013.07.015

Exact meta-analysis of several independent progressively type-II censored data

William Volterman, N. Balakrishnan, Erhard Cramer

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Exact inference for the case when multiple independent progressively Type-II censored samples are pooled is considered. Two representations for the marginal distributions of the resulting pooled order statistics are given, a direct method and an iterative method. The coverage probabilities and expected widths of exact nonparametric confidence intervals for quantiles are compared for various scenarios with one or more independent samples.

Original language	English (US)
Pages (from-to)	949-960
Number of pages	12
Journal	Applied Mathematical Modelling
Volume	38
Issue number	3
DOIs	https://doi.org/10.1016/j.apm.2013.07.015
State	Published - Feb 1 2014
Externally published	Yes

Keywords

Mixtures
Nonparametric confidence intervals
Pooled order statistics
Pooled samples
Progressive type-II censoring

ASJC Scopus subject areas

Modeling and Simulation
Applied Mathematics

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10.1016/j.apm.2013.07.015

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abstract = "Exact inference for the case when multiple independent progressively Type-II censored samples are pooled is considered. Two representations for the marginal distributions of the resulting pooled order statistics are given, a direct method and an iterative method. The coverage probabilities and expected widths of exact nonparametric confidence intervals for quantiles are compared for various scenarios with one or more independent samples.",

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AU - Balakrishnan, N.

AU - Cramer, Erhard

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AB - Exact inference for the case when multiple independent progressively Type-II censored samples are pooled is considered. Two representations for the marginal distributions of the resulting pooled order statistics are given, a direct method and an iterative method. The coverage probabilities and expected widths of exact nonparametric confidence intervals for quantiles are compared for various scenarios with one or more independent samples.

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KW - Nonparametric confidence intervals

KW - Pooled order statistics

KW - Pooled samples

KW - Progressive type-II censoring

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Exact meta-analysis of several independent progressively type-II censored data

Abstract

Keywords

ASJC Scopus subject areas

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