TitleAdmissible, consistent multiple testing with applications
NameChen, Chuanwen (author), Cohen, Arthur (chair), Zhang, Cun-Hui (internal member), Sackrowitz, Harold (internal member), Gordon, Derek (outside member), Rutgers University, Graduate School - New Brunswick,
SubjectStatistics and Biostatistics,
Linear models (Statistics)
DescriptionFor multivariate normal models and exponential family models a multiple testing stepwise method is offered that is both admissible and consistent. The method is readily adaptable to selecting variables in linear regression models where it is akin to the forward selection method plus a screening stage plus a sign compatibility stage. The method is also adaptable to testing the local odds ratios in contingency tables in which the categories are ordered. Examples and simulations are included.
NoteIncludes bibliographical references (p. 59-61)
Noteby Chuanwen Chen
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.