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International Conference on Statistics, Combinatorics and Related Areas - 7th International Conference of the Forum for Interdisciplinary Mathematics
December 19-21, 2000
Indian Institute of Technology-Bombay
Mumbai, Maharastra, India

Organizers
Satya N. Mishra (University of South Alabama), Sanjeev V. Sabnis (IIT, Bombay)

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Some Properties of Selection Criteria for Repeated-Measures Models
by
Yasunori Fujikoshi
Department of Mathematics, Hiroshima, Higashi-Hiroshima, 739-8256, Japan

Repeated-measures data arise when each subject is observed at several different times or under different conditions. For a given repeated-measures data, it is common that there are several candidate models, depending on choice of explanatory variables and covariance structures. We consider models for normal data which have linearlity for expected responses and covariance stractures such as independent, unstructured, random-effects and first-order autoregressive structures. In this paper we study some properties of AIC, Cp and CV criteria which are estimators of their risk functions.

Date received: October 12, 2000

Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cafr-28.