审查(临床试验)
数学
贝叶斯定理
推论
统计
贝叶斯推理
点估计
贝叶斯概率
应用数学
似然函数
最大似然
蒙特卡罗方法
航程(航空)
计算机科学
人工智能
复合材料
材料科学
作者
Subhankar Dutta,Hon Keung Tony Ng,Suchandan Kayal
标识
DOI:10.1016/j.cam.2022.114934
摘要
In this paper, statistical inference of a competing risks model is developed based on a unified hybrid censoring scheme when the latent failure times follow a general family of inverted exponentiated distributions, which covers a wide range of lifetime distributions. Point and interval estimation methods for estimating the model parameters based on maximum likelihood and Bayesian approaches under non-restricted and restricted parameter spaces are developed. The Bayes estimates are obtained under the squared error loss function with non-informative and informative prior distributions. The existence and uniqueness of the maximum likelihood estimates of the model parameters are proved. A Monte Carlo simulation study is carried out to evaluate the performance of the proposed estimation procedures. To illustrate the proposed inferential procedures, a real data analysis is provided. Finally, some concluding remarks and future research directions are presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI