Abstract
This paper proposes a class of non-parametric test procedures for testing the null hypothesis that two distributions, F and G, are equal versus the alternative hypothesis that F is 'more NBU (new better than used) at specified age to' than G. Using Hoeffding's two-sample U-statistic theorem, it establishes the asymptotic normality of the test statistics and produces a class of asymptotically distribution-free tests. Pitman asymptotic efficacies of the proposed tests are calculated with respect to the location and shape parameters. A numerical example is provided for illustrative purposes.
| Original language | English |
|---|---|
| Pages (from-to) | 329-337 |
| Number of pages | 9 |
| Journal | Australian and New Zealand Journal of Statistics |
| Volume | 47 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2005.09 |
Keywords
- Consistency
- NBU
- NBU-t
- Pitman asymptotic efficacy
- U-statistic
Quacquarelli Symonds(QS) Subject Topics
- Mathematics
- Statistics & Operational Research
- Data Science
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