Title :
A Meta-Analysis of Multisample Type-II Censored Data With Parametric and Nonparametric Results
Author :
Balakrishnan, N. ; Volterman, W. ; Li Zhang
Author_Institution :
Dept. of Math. & Stat., McMaster Univ., Hamilton, ON, Canada
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.
Keywords :
estimation theory; nonparametric statistics; best linear unbiased estimation; meta-analysis; multiple s-independent type-II right censored data; multisample type-II censored data; nonparametric inference; nonparametric result; Joints; Logistics; Probability density function; Sociology; Standards; Statistics; Vectors; 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;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2013.2240876
