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Updated: May 24, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

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根据马歇尔-奥利金双变的基斯分布,根据一般化的渐进式混合审查来推断取决于竞争风险的推断

Prakash Chandra1, Hemanta Kumar Mandal1, Yogesh Mani Tripathi1

  • 1Department of Mathematics, Indian Institute of Technology Patna, Bihta, Bihar, India.

Journal of applied statistics
|March 5, 2025
PubMed
概括

本研究引入了使用马歇尔-奥利金双变量基斯分布分析具有依赖失效时间的竞争性风险的新方法. 该研究提供了古典和贝叶斯估计技术,用于复杂的审查方案下的可靠性和生存分析.

关键词:
62F10 它们是什么?62F15 它们是什么?62F3030 它们是什么?在MCMC的方法中,MCMC方法是:马歇尔·奥利金双变基斯分布依赖于竞争风险模型的依赖性竞争风险模型.普遍化的渐进式混合审查 综合审查订单限制 订单限制

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