上海交通大学学报(英文版) ›› 2015, Vol. 20 ›› Issue (3): 298-301.doi: 10.1007/s12204-015-1625-8
JIANG Ren-yan (蒋仁言)
JIANG Ren-yan (蒋仁言)
摘要: The log-Weibull distribution is a variant of the three-parameter Weibull distribution. The probability plot of a distribution model is desired since it can help to decide on whether the model is appropriate for fitting a given dataset and can provide the initial estimate of the model parameters. The decision on the appropriateness of a distribution is somehow subjective. This paper presents a probability plot of the log-Weibull distribution (LWPP). The distribution of the probability plot correlation coefficient is studied. From this distribution, a lower confidence limit is determined for determining whether the probability plot correlation coefficient derived from a given data set is large enough. The appropriateness and usefulness of this study are illustrated by two real-world examples.
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