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Two Probability Plots of the Three-Parameter Lognormal Distribution

Two Probability Plots of the Three-Parameter Lognormal Distribution
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摘要 The two-parameter lognormal distribution is a variant of the normal distribution and the three-parameter lognormal distribution is an extension of the two-parameter lognormal distribution by introducing a location parameter. The Q-Q plot of the three-parameter lognormal distribution is widely used. To obtain the Q-Q plot one needs to iteratively try different values of the shape parameter and subjectively judge the linearity of the Q-Q plot. In this paper,a mathematical method was proposed to determine the value of the shape parameter so as to simplify the generation of the Q-Q plot. Then a new probability plot was proposed,which was more easily obtained and provided more accurate parameter estimates than the Q-Q plot. These are illustrated by three realworld examples. The two-parameter lognormal distribution is a variant of the normal distribution and the three-parameter lognormal distribution is an extension of the two-parameter lognormal distribution by introducing a location parameter. The Q-Q plot of the three-parameter lognormal distribution is widely used. To obtain the Q-Q plot one needs to iteratively try different values of the shape parameter and subjectively judge the linearity of the Q-Q plot. In this paper,a mathematical method was proposed to determine the value of the shape parameter so as to simplify the generation of the Q-Q plot. Then a new probability plot was proposed,which was more easily obtained and provided more accurate parameter estimates than the Q-Q plot. These are illustrated by three realworld examples.
作者 蒋仁言
出处 《Journal of Donghua University(English Edition)》 EI CAS 2014年第6期757-759,共3页 东华大学学报(英文版)
基金 National Natural Science Foundation of China(No.71371035)
关键词 three-parameter lognormal distribution probability plot correlation coefficient model selection parameter estimation three-parameter lognormal distribution probability plot correlation coefficient model selection parameter estimation
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参考文献10

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