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Methods for Comparing the Means of Two Independent Log-Normal Samples
Xiao-Hua Zhou, Sujuan Gao and Siu L. Hui
Vol. 53, No. 3 (Sep., 1997), pp. 1129-1135
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533570
Page Count: 7
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Standard methods of using the t-test and the Wilcoxon test have deficiencies for comparing the means of two skewed log-normal samples. In this paper, we propose two new methods to overcome these deficiencies: (1) a likelihood-based approach and (2) a bootstrap-based approach. Our simulation study shows that the likelihood-based approach is the best in terms of the type I error rate and power when data follow a log-normal distribution.
Biometrics © 1997 International Biometric Society