Sequential nonparametric procedures for testing the equality of two lifetime distributions based on progressively censored data

Xiaojun Zhu, Hon Keung Tony Ng*, Man Lai Tang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

ABSTRACT: Many nonparametric tests have been formulated to test the equality of two lifetime distributions (e.g., Wilcoxon rank-sum test and sign test), and some of these nonparametric tests can be applied to censored samples (e.g., precedence-type tests and log-rank test). In this article, we study several sequential nonparametric test procedures based on the precedence-type statistics when the lifetime data are observed sequentially and one of the two samples is progressively Type-II censored. Exact power function under Lehmann alternatives is derived. Monte Carlo simulation is used to evaluate the performances of these sequential test procedures. Conclusions and recommendations are provided based on these results.

Original languageEnglish
Pages (from-to)158-174
Number of pages17
JournalSequential Analysis
Volume35
Issue number2
DOIs
Publication statusPublished - 2 Apr 2016
Externally publishedYes

Keywords

  • Lehmann alternative
  • Monte Carlo simulations
  • life testing
  • precedence statistics
  • two-sample problem

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