Abstract
Ranked set sampling (RSS) schemes were originally proposed to increase efficiency in estimation. On the other hand, group sequential methods provide substantial savings in sample and enable us to make decisions as early as possible. In this manuscript, we intend to combine the benefits of the two methodologies. We propose group sequential tests for one and two population means under RSS. We compare the power, average sample sizes and type I errors of the proposed tests to those of group sequential tests based on simple random sampling schemes. We illustrate the utility of the method by using data from HIV trial.
| Original language | English |
|---|---|
| Pages (from-to) | 547-562 |
| Number of pages | 16 |
| Journal | Statistical Papers |
| Volume | 54 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Auxiliary information
- Group sequential methods
- Ranked set sampling
- Two-sample hypotheses
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
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