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Ranked Set Sampling for Replicated Sampling Designs
Author(s) -
Barabesi Lucio,
Pisani Caterina
Publication year - 2002
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2002.00586.x
Subject(s) - simple random sample , estimator , sampling design , sampling (signal processing) , statistics , replication (statistics) , protocol (science) , mathematics , cluster sampling , probability sampling , set (abstract data type) , computer science , population , medicine , demography , alternative medicine , filter (signal processing) , pathology , sociology , computer vision , programming language
Summary. In practical ecological sampling studies, a certain design (such as plot sampling or line‐intercept sampling) is usually replicated more than once. For each replication, the Horvitz‐Thompson estimation of the objective parameter is considered. Finally, an overall estimator is achieved by averaging the single Horvitz‐Thompson estimators. Because the design replications are drawn independently and under the same conditions, the overall estimator is simply the sample mean of the Horvitz‐Thompson estimators under simple random sampling. This procedure may be wisely improved by using ranked set sampling. Hence, we propose the replicated protocol under ranked set sampling, which gives rise to a more accurate estimation than the replicated protocol under simple random sampling.