Optimal designs for linear mixed models with group-specific treatment effects

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:岳荣先(上海师范大学)
:2024-11-01 10:00
:海韵园实验楼107

报告人:岳荣先(上海师范大学)

 间:202411110:00

 点:海韵园实验楼107

内容摘要:

This work concerns with optimal designs for linear mixed models with group-specific treatment. The c- and DA-optimality criteria are considered for estimating one or several linear combinations of the population parameters. Two equivalence theorems are given to verify the c- and DA-optimality of designs under a linear mixed model. Several examples are provided to illustrative application to find c-, D-, DA-optimal designs for polynomial and fractional polynomial models with multi-treatment group assignments.

人简介

岳荣先,上海师范大学二级教授、博士生导师。长期从事试验设计理论与方法的研究,主持完成国家自然科学基金面上项目5项。研究成果发表于统计学国际期刊 Annals of Statistics, Statistica Sinica, Scan. J. Statist., Comput. Statist. Data Anal., J. Multivariate Anal., J. Stat. Plan. Inference等。曾任中国现场统计研究会副理事长、中国数学会均匀设计分会副理事长、中国现场统计研究会试验设计分会副理事长、上海师范大学学术委员会委员、上海师范大学学术伦理与道德委员会主任和教学指导委员会主任。现任2个国际期刊Statistical Theory and Related FieldsCommunications on Applied Mathematics and ComputationAssociate Editor

 

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