A new two parameter Burr XII distribution: properties, copula, different estimation methods, and modeling acute bone cancer data

M. Mansour, H. Yousof, Wahid A. M. Shehata, M. Ibrahim
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引用次数: 54

Abstract

We present a new two parameter Burr XII distribution. The new density can be right skewed with no peak, unimodal-right skewed, left skewed and symmetric. The new failure rate can be decreasing, unimodal and increasing. Properties related to the new model are derived. Simple type copula-based construction is presented for deriving some new bivariate and multivariate type distributions. The maximum likelihood estimation, Anderson Darling estimation, right tail Anderson Darling estimation and left tail Anderson Darling estimation methods are used to estimate the model parameters. A new data set is analyzed for comparing estimations methods and the competitive models.
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一种新的双参数Burr XII分布:属性、联结、不同的估计方法,以及急性骨癌数据的建模
提出了一种新的双参数Burr XII分布。新密度可以是右偏无峰、单峰-右偏、左偏对称。新的故障率可以是递减的、单峰的和递增的。导出了与新模型相关的属性。提出了一种基于简单型copula的构造方法来推导一些新的二元和多元型分布。采用极大似然估计、Anderson Darling估计、右尾Anderson Darling估计和左尾Anderson Darling估计方法对模型参数进行估计。分析了一个新的数据集,比较了估计方法和竞争模型。
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