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Lower bounds for confidence coefficients for confidence intervals for finite population quantiles
Authors:Smith Philip  J Sedransk
Affiliation:1. U.S. Bureau of the Census;2. State University of New York , Albany
Abstract:Assuming stratified simple random sampling, a confidence interval for a finite population quantile may be desired. Using a confidence interval with endpoints given by order statistics from the combined stratified sample, several procedures to obtain lower bounds (and approximations for the lower bounds) for the confidence coefficients are presented. The procedures differ with respect to the amount of prior information assumed about the var-iate values in the finite population, and the extent to which sample data is used to estimate the lower bounds.
Keywords:stratified random sampling  improved lower bounds for confidence coefficients  estimated cumulative distribution function
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