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  • 标题:McDonald log-logistic distribution with an application to breast cancer data
  • 本地全文:下载
  • 作者:M.H. Tahir ; Muhammad Mansoor ; Muhammad Zubair
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2014
  • 卷号:13
  • 期号:1
  • 页码:67-84
  • DOI:10.2991/jsta.2014.13.1.6
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:We introduce a five-parameter continuous model, called the McDonald log-logistic distribution, to extend the two-parameter log-logistic distribution. Some structural properties of this new distribution such as reliability measures and entropies are obtained. The model parameters are estimated by the method of maximum likelihood using L-BFGS-B algorithm. A useful characterization of the distribution is proposed which does not require explicit closed form of the cumulative distribution function and also connects the probability density function with a solution of a first order differential equation. An application of the new model to real data set shows that it can give consistently better fit than other important lifetime models.
  • 关键词:Log-logistic distribution; hazard function; reliability function;R´enyi entropy
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