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统计系学术报告

来源:  作者:统计系     日期:2017/6/13 0:00:00   点击数:692  

统计系报告通知:
题目:Empirical Likelihood-based Confidence Intervals for Mean Medical Cost with Censored Data;
时间:2017年6月15日上午10:30
地点:X2511
摘要:In this paper we propose empirical likelihood methods based on influence function and jackknife techniques for constructing confidence intervals for mean medical cost with censored data. We conduct a simulation study to compare the coverage probabilities and interval lengths of our proposed confidence intervals with that of the existing normal approximation-based confidence intervals and bootstrap confidence intervals. The proposed methods have better finite-sample performances than existing methods. Finally, we illustrate our proposed methods with a relevant example.
报告人简介:秦更生,美国佐治亚州立大学(Georgia State University)数学与统计系教授。他是美国统计学会、数理统计学会、加拿大统计学会等学会会员,曾任《Statistics & Probability Letters》副主编,目前担任统计学杂志《Open Journal of Statistics》、《Statistics Research Letters》、《Computational and Mathematical Methods in Medicine》等期刊编委。主要研究方向为生物统计和数理统计,其中包括生存分析、时间序列、经验似然方法等,发表论文60余篇,取得了多项创新性成果发表在《Bernoulli 》、《Biometrics 》、《The Canadian Journal of Statistics》在内的多个世界一流统计学期刊上。

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