Abstract
This paper considers computation of mixture weights of the marginal distribution of pooled order statistics that arise from combining and ordering multiple independent Type-II right censored samples. The proposed method is an iterative procedure which is computationally efficient and produces the same mixture representations as direct methods. It is shown that the resultant mixtures are independent of the order in which the samples are entered into the algorithm. Some comparative computational results are finally presented.
Original language | English (US) |
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Pages (from-to) | 2231-2239 |
Number of pages | 9 |
Journal | Computational Statistics |
Volume | 28 |
Issue number | 5 |
DOIs | |
State | Published - Oct 2013 |
Externally published | Yes |
Keywords
- Iterative computational algorithm
- Meta-analysis
- Mixtures
- Nonparametric confidence intervals
- Order statistics
- Pooled order statistics
- Record values
- Type-II right censored samples
- Weights
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Computational Mathematics