All pairwise comparisons of exponential location parameters under type I censoring - Equal scale parameter case
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 19-27 |
| Journal / Publication | Journal of Statistical Computation and Simulation |
| Volume | 54 |
| Issue number | 1-3 |
| Publication status | Published - 1996 |
Link(s)
Abstract
In this paper, procedures for all pairwise comparisons of location parameters of negative exponential populations are developed when the common scale parameter is known or unknown using large sample distributional approximations of the relevant random variables. The small sample performance of these procedures are then examined using Monte Carlo simulation.
Research Area(s)
- All pairwise comparisons, Life-testing, Monte Carlo simulation, Multiple comparisons, Simultaneous inferences, Two-parameter exponential distributions, Type I censoring
Citation Format(s)
All pairwise comparisons of exponential location parameters under type I censoring - Equal scale parameter case. / Ng, C. K.
In: Journal of Statistical Computation and Simulation, Vol. 54, No. 1-3, 1996, p. 19-27.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
