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

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Study on Probability Plot Correlation Coefficient of the Log-Weibull Distribution

JIANG Ren-yan (蒋仁言)   

  1. (Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China)
  • 发布日期:2015-06-11
  • 通讯作者: JIANG Ren-yan (蒋仁言) E-mail:jiang@csust.edu.cn

Study on Probability Plot Correlation Coefficient of the Log-Weibull Distribution

JIANG Ren-yan (蒋仁言)   

  1. (Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China)
  • Published:2015-06-11
  • Contact: JIANG Ren-yan (蒋仁言) E-mail:jiang@csust.edu.cn

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.

关键词: log-Weibull, probability plot, correlation coefficient, lower confidence limit

Abstract: 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.

Key words: log-Weibull, probability plot, correlation coefficient, lower confidence limit

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