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Editorial: ranked set sampling

✍ Scribed by G. P. Patil

Publisher: Springer
Year: 1995
Tongue: English
Weight: 933 KB
Volume: 2
Category: Article
ISSN: 1352-8505
DOI: 10.1007/bf00569358

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As a variation of ranked set sampling (RSS), double-ranked set sampling technique (DRSS) is introduced and investigated. It is shown that this extension of RSS is more e cient in estimating the population mean than both RSS and simple random sampling (SRS). It is also shown, using the concept of "de

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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

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Ranked set sampling for ordered categorical variables

✍ Haiying Chen; Elizabeth A. Stasny; Douglas A. Wolfe 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 French ⚖ 806 KB

## Abstract The authors show how ranked set sampling, both balanced and unbalanced, can be extended to ordered categorical variables with the goal of estimating the probabilities of all categories. They use ordinal logistic regression to aid in the ranking of the ordinal variable of interest. They