在重删和弱删数据情况下确定风险均值的后验均值法

المجلة الدولية للأداء الاقتصادي Pub Date : 1900-01-01 DOI:10.54241/2065-003-002-001

Ahmed Hamimes, Rachid Benamirouche

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摘要

在本文中，Kaplan Meier模型被用于生存分析，并根据贝叶斯上下文概念，通过后验均值的方法计算持续时间数据强截尾和弱截尾情况下的风险均值。这种方法可以使机会风险的平均值的概率化，并以同样的方式进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Posterior Mean Approach To Determine The Mean Value Of Risk In The Case Of Heavily And Weakly Censored Data

In this paper, Kaplan Meier's model is used in the survival analysis and according to a Bayesian conception of the context to calculate the mean value of the risk in the case of data of durations strongly and weakly censored through the approach of the posterior mean. This method makes it possible to probabilize the mean value of the risk of chance and to make comparisons in the same way.

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المجلة الدولية للأداء الاقتصادي

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