New Procedures for Selecting the k-Best Exponential Populations Better than a Standard
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
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| Pages (from-to) | 1-9 |
| Journal / Publication | American Journal of Mathematical and Computational Sciences |
| Volume | 3 |
| Issue number | 1 |
| Online published | 8 Jan 2018 |
| Publication status | Published - 2018 |
Link(s)
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(6e08476a-09a0-4575-94af-f1889810f372).html |
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Abstract
Suppose several two-parameter exponential populations are given. The scale parameters are assumed unequal and can be either known or unknown. This paper discusses how to select those populations having their location parameters better than a standard under the indifference zone formulation. A striking feature of these procedures is that no statistical tables are needed for their implementation.
Research Area(s)
- Two-Parameter Exponential Population, Standard Population, Ranking and Selection, Two-Stage Procedure, Indifference Zone Formulation
Citation Format(s)
New Procedures for Selecting the k-Best Exponential Populations Better than a Standard. / Ng, Cheuk Key.
In: American Journal of Mathematical and Computational Sciences, Vol. 3, No. 1, 2018, p. 1-9.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
