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Robust Adjusted Wald Confidence Intervals for a Proportion Based on Ranked-Set Sampling

发布时间:2025年07月10日 09:27 浏览量:

报告题目:Robust Adjusted Wald Confidence Intervals for a Proportion Based on Ranked-Set Sampling

报告人:张一旻 副教授 Villanova University

报告时间:2025715 (星期二)上午900-1000

报告地点:数学科学学院111A

邀请人:王晓光 副教授   联系电话:84708351-8508


报告摘要:Wald confidence intervals for a binomial proportion are known to perform poorly. Adjusted Wald intervals achieve better performance by adding in c successes and c failures (for an appropriate positive constant c) before computing the usual Wald interval. We study the performance of adjusted Wald intervals for a proportion in the context of ranked-set sampling, finding that such intervals outperform the existing intervals in the literature. In the process, we develop new methods for evaluating the performance of confidence intervals for a proportion in the ranked-set sampling context. We describe possible extensions and provide advice on the choice of c.


报告人简介:Dr. Yimin Zhang is an associate professor of statistics in Department of Mathematics and Statistics at Villanova University. Her research interests include nonparametric statistics, inference on ranked set sampling, statistical modeling and machine learning. Her recent collaborative work spans environmental science, sustainability and transportation.


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