论文标题

在双变量左审查数据的模型上

On a Model for Bivariate Left Censored Data

论文作者

Asha, G., Vasudevan, Durga

论文摘要

左审核的受试者的寿命在于阈值以下或检测限。一种用于处理左侧数据的流行工具是相反的危险率。在这项工作中,我们研究了基于用于分析左侧审查数据的比例反向危险率的属性和特征。这些特征应用于模拟样本,并使用属于此类的分布来分析实际数据。

The lifetimes of subjects which are left-censored lie below a threshold value or a limit of detection. A popular tool used to handle left-censored data is the reversed hazard rate. In this work, we study the properties and develop characterizations of a class of distributions based on proportional reversed hazard rates used for analyzing left censored data. These characterizations are applied to simulate samples as well as analyze real data using distributions belonging to this class.

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