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Interval estimates for the ratio and difference of two lognormal means.

机译:两种对数正态平均值的比率和差异的区间估计。

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摘要

Health research often gives rise to data that follow lognormal distributions. In two sample situations, researchers are likely to be interested in estimating the difference or ratio of the population means. Several methods have been proposed for providing confidence intervals for these parameters. However, it is not clear which techniques are most appropriate, or how their performance might vary. Additionally, methods for the difference of means have not been adequately explored. We discuss in the present article five methods of analysis. These include two methods based on the log-likelihood ratio statistic and a generalized pivotal approach. Additionally, we provide and discuss the results of a series of computer simulations. Finally, the techniques are applied to a real example.
机译:健康研究通常会产生遵循对数正态分布的数据。在两个样本情况下,研究人员可能会对估计总体均值的差异或比率感兴趣。已经提出了几种方法来提供这些参数的置信区间。但是,尚不清楚哪种技术最合适,或者它们的性能如何变化。此外,均值差异的方法还没有得到充分的探索。我们在本文中讨论五种分析方法。这些包括基于对数似然比统计量的两种方法和广义的关键方法。此外,我们提供并讨论了一系列计算机仿真的结果。最后,这些技术被应用于一个真实的例子。

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