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Comparing the Means of Two Log-Normal Distributions: A Likelihood Approach

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  • L. Jiang
  • M. Rekkas
  • A. Wong

Abstract

The log-normal distribution is one of the most common distributions used for modeling skewed and positive data. In recent years, various methods for comparing the means of two independent log-normal distributions have been developed. In this paper a higher-order likelihood based method is proposed. The method is applied to two real-life examples and simulation studies are used compare the accuracy of the proposed method to some existing methods.

Suggested Citation

  • L. Jiang & M. Rekkas & A. Wong, 2014. "Comparing the Means of Two Log-Normal Distributions: A Likelihood Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(1), pages 1-9.
    • Handle: RePEc:spt:stecon:v:3:y:2014:i:1:f:3_1_9
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