Two-stage procedures for comparing several exponential populations with a control when the scale parameters are unknown and unequal
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 151-164 |
| Journal / Publication | Sequential Analysis |
| Volume | 9 |
| Issue number | 2 |
| Publication status | Published - 1 Jan 1990 |
Link(s)
Abstract
this paper, two-stage procedures for comparing several exponential populations with a control are developed under the assumption of unknown and unequal variances. Conventional techniques using Bonferroni's inequality as given in Mukhopadyay and Handy (1984) are used to derive multiple comparison results. By exploiting recent techniques given in Lam (1987, 1988), improvements on multiple comparison results are obtained. The results can be applied to selecting the exponential population with the largest (or with the smallest) location parameter using the indifference zone approach in Bechhofer (1954) or the subset selection approach in Gupta (1956). © 1990, Taylor & Francis Group, LLC. All rights reserved.
Research Area(s)
- comparison, largest location, multiple, selection and ranking, two-stage procedures, unequal scales
Citation Format(s)
Two-stage procedures for comparing several exponential populations with a control when the scale parameters are unknown and unequal. / Lam, K.; Ng, C. K.
In: Sequential Analysis, Vol. 9, No. 2, 01.01.1990, p. 151-164.
In: Sequential Analysis, Vol. 9, No. 2, 01.01.1990, p. 151-164.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
