Date of Award

2010-01-01

Degree Name

Master of Science

Department

Mathematical Sciences

Advisor(s)

Naijun Sha

Abstract

In this thesis, we analyze the performance of adapting the DFBETA statistic for identifying influential observations on the intraclass correlation coefficient under the assumptions of the one-way random effects model. Additionally, we introduce an approach for transforming negative intraclass correlation coefficient estimation values using the method of moments estimator. We apply this method on a data set of repeated blood pressure measurements, after which we will investigate implications of identifying influential observations.

Language

en

Provenance

Received from ProQuest

File Size

91 pages

File Format

application/pdf

Rights Holder

Angel de Jesus Davalos

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