A meta-analysis of multisample type-II censored data with parametric and nonparametric results

Narayanaswamy Balakrishnan, William Volterman, Li Zhang

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

We discuss meta-analysis of multiple s-independent Type-II right censored data. In particular, we consider parametric inference using Best Linear Unbiased Estimation, as well as non-parametric inference. We provide pertinent numerical results and two examples to illustrate all the methods of inference developed here.

Original languageEnglish (US)
Article number6425543
Pages (from-to)2-12
Number of pages11
JournalIEEE Transactions on Reliability
Volume62
Issue number1
DOIs
StatePublished - Feb 5 2013

Keywords

  • Best linear unbiased estimator
  • Type-II censoring
  • best linear unbiased predictor
  • meta analysis
  • nonparametric confidence intervals
  • order statistics
  • pooling
  • population quantiles
  • prediction intervals
  • progressive Type-II censoring
  • tolerance intervals

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering

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