New procedures for selecting the k-best exponential populations
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 |
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Pages (from-to) | 2176-2184 |
Journal / Publication | Communications in Statistics: Simulation and Computation |
Volume | 46 |
Issue number | 3 |
Publication status | Published - 16 Mar 2017 |
Link(s)
Abstract
Suppose exponential populations πi with parameters (μi,σi) (i = 1, 2, …, K) are given. The σi can be unknown and unequal. This article discusses how to select the k (≥1) best populations. Under the subset selection formulation, a one-stage procedure is proposed. Under the indifference zone formulation, a two-stage procedure is proposed. An appealing feature of these procedures is that no statistical tables are needed for their implementation.
Research Area(s)
- Best population, Exponential population, Hochberg's inequality, Indifference zone formulation, One-stage procedure, Ranking and selection, Subset selection formulation, Two-stage procedure
Citation Format(s)
New procedures for selecting the k-best exponential populations. / Ng, Allen C. K.
In: Communications in Statistics: Simulation and Computation, Vol. 46, No. 3, 16.03.2017, p. 2176-2184.
In: Communications in Statistics: Simulation and Computation, Vol. 46, No. 3, 16.03.2017, p. 2176-2184.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review