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Confidence interval for a ratio of variances in bivariate nonnormal distributions

机译:二元非正态分布方差比的置信区间

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摘要

The exact confidence interval for a ratio of variances can have coverage probability that is much smaller than the nominal level when sampling from nonnormal bivariate distributions. An approximate confidence interval is proposed that performs as well as the exact method in bivariate normal distributions but performs better in bivariate nonnormal distributions. An approximate sample size planning formula is proposed.
机译:从非正态双变量分布中进行采样时,方差比的确切置信区间的覆盖概率可能比标称水平小得多。提出了一个近似置信区间,它在二元正态分布中的性能与精确方法一样好,但在二元非正态分布中的性能更好。提出了一个近似的样本量计划公式。

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