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Distinguishing among Distributions Using Data from Complex Sample Designs

利用复杂抽样设计的数据区分分布

This article presents the statistical methodology for estimating stratum cumulative distribution functions (cdf's) when the sample is drawn according to a complex design. Justification for the use of this methodology is offered, and examples are presented to demonstrate the expanded inference possible when estimated cdf's are used in addition to stratum means. The methods are applied to data from a survey of the patterns of care in radiation therapy facilities in the United…

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Confidence Intervals for the Quantiles of a Finite Population: Simple Random and Stratified Simple Random Sampling

有限总体分位数的置信区间:简单随机抽样与分层简单随机抽样

Summary Given a finite population consisting of N units, it is desired to have a confidence interval for the (t/N)th quantile, Y (t), of the population. Assuming simple random sampling, a confidence interval procedure is suggested and several expressions for the associated confidence coefficient are given. With stratified simple random sampling, for L = 2 strata, three confidence interval procedures are suggested. The associated confidence coefficients are derived under each…

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