Rank Regression in Ranked-Set Samples
โ Scribed by Ozturk, Omer
- Book ID
- 121081406
- Publisher
- American Statistical Association
- Year
- 2002
- Tongue
- English
- Weight
- 339 KB
- Volume
- 97
- Category
- Article
- ISSN
- 0162-1459
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Ranked set sampling (RSS) as suggested by MCINTYRE (1952) and TAKAHASI and WAKIMOTO (1968) may be used to estimate the parameters of the simple regression line. The objective is to use the RSS method to increase the eficiency of the estimators relative to the simple random sampling (SRS) method. Est
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