报告人：Pinyuen Chen , Syracuse University
报告时间：2024年7月5日 15:00
报告地点：上海财经大学红瓦楼723
报告摘要：I will present a fixed sample size procedure and a closed sequential procedure to compare k ( > 1) experimental treatments with a standard. All the treatments produce outcomes with two Bernoulli endpoints. The goal is to select the treatments whose success rates of both endpoints are better than their respective standards. We modify and generalize Dunnett (1984)’s formulation for comparing treatments with one Bernoulli endpoint to a formulation for comparing treatments with two Bernoulli endpoints. We derive the lower bound of the probability of a correct selection for both procedures and use it to calculate the sample sizes needed to achieve probability requirements. An example is given to illustrate the application of our procedures.
报告人简介：1982- present: Professor, Department of Mathematics, Syracuse University.
1995 - 2006: Director, Interdisciplinary Statistics Program, College of Arts and Science, Syracuse University.
2009- 2016: Acting Director, Interdisciplinary Statistics Program, College of Arts and Science, Syracuse University.
2016- present: Director, Interdisciplinary Statistics Program, College of Arts and Science, Syracuse University.
Served in the Syracuse Chapter of the American Statistical Association at the following positions:
1995-1996: Program Chair；1996-1997: Chapter President；1997-1998: Executive Committee Member；2000-2002: Chapter Representative；2004: Executive Committee Member；2005-present: Chapter Representative .
Served on the editorial board of the J. Statistics and Decision from 1983 to 2002.
Serving on the editorial board of the J. Sequential Analysis since 2004.
RESEARCH INTERESTS:
Statistical Signal Processing, Ranking and Selection, Multivariate Analysis, Dirichlet Integrals, Multinomial Selection.
报告邀请人：何萍 教授