Ranked set sampling (RSS), as suggested by McIntyre (1952), assumes perfect ranking, i.e. without errors in ranking, but for most practical applications it is not easy to rank the units without errors in ranking. As pointed out by Dell and Clutter (1972) there will be a loss in precision due to the
โฆ LIBER โฆ
Relative precision of ranked set sampling: A comparison with the regression estimator
โ Scribed by G. P. Patil; A. K. Sinha; C. Taille
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 674 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
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In medical research, a situation commonly arises where new variables are calculated from a common set of directly measured variables. When the directly measured variables each contain an error component, the relationship between the observed calculated variables can often be distorted. A source of t