对数正态分布均值比较的小样本推断
Small-sample inference for the comparison of means of log-normal distributions.
作者信息
Gill Paramjit S
机构信息
Department of Mathematics and Statistics, Okanagan University College, Kelowna, British Columbia V1V 1V7, Canada.
出版信息
Biometrics. 2004 Jun;60(2):525-7. doi: 10.1111/j.0006-341X.2004.00199.x.
Abstract
We propose a likelihood-based test for comparing the means of two or more log-normal distributions, with possibly unequal variances. A modification to the likelihood ratio test is needed when sample sizes are small. The performance of the proposed procedures is compared with the F-ratio test using Monte Carlo simulations.
摘要
我们提出了一种基于似然性的检验方法，用于比较两个或多个对数正态分布的均值，其方差可能不相等。当样本量较小时，需要对似然比检验进行修正。使用蒙特卡罗模拟将所提出方法的性能与F比率检验进行比较。
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