title: Concomitant-based rank set sampling proportion estimates.
abstract: This paper discusses the rank set sampling (RSS) protocol as it pertains to the estimation of a population proportion. The ranking process is based on a concomitant variable. The concomitant-based RSS estimate is asymptotically normal so standard inference procedures can still be implemented. This is illustrated using a real data set from the medical literature. The performance of the estimator is studied in terms of relative efficiency. Generally speaking, the concomitant-based RSS estimator is more efficient than the proportion of successes in a simple random sample. The greatest gains in efficiency are obtained when the correlation between the Bernoulli and concomitant variable is large in absolute value.
authors.affiliation: Department of Statistics, North Dakota State University, Fargo 58105, USA. jeff.terpstra@ndsu.nodak.edu
authors.forename: Jeff T
authors.initials: JT
authors.lastname: Terpstra
authors.forename: Lindsey A
authors.initials: LA
authors.lastname: Liudahl
mesh_terms: D001943:Breast Neoplasms / Q000473:pathology; D005260:Female; D006801:Humans; D015233:Models, Statistical; D014481:United States