Computational aspects of statistical intervals based on two Type-II censored samples

N. Balakrishnan, E. Beutner, E. Cramer*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


In this paper, we propose an efficient branch and bound procedure to compute exact nonparametric statistical intervals based on two Type-II right censored data sets. The procedure is based on some recurrence relations for the distribution and density functions of progressively Type-II censored order statistics which can be applied to compute the coverage probabilities. We illustrate the method for both confidence and prediction intervals of a given level.

Original languageEnglish
Pages (from-to)893-917
Number of pages25
JournalComputational Statistics
Issue number3
Publication statusPublished - 1 Jun 2013
Externally publishedYes


  • Mixtures of order statistics
  • Nonparametric confidence intervals
  • Nonparametric prediction intervals
  • Progressively Type-II censored order statistics
  • Right censored order statistics


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