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- W770846076 abstract "The test of homogeneity for intraclass correlation coefficients has been one of the active topics in statistical research. Several chi-square tests have been proposed to test the homogeneity of intraclass correlations in the past few decades. The big concern for them is that these methods are seriously biased when sample sizes are not large. In this thesis, data driven approaches are proposed to testing the homogeneity of intraclass correlation coefficients of several populations. Through simulation study, data driven methods have been proved to be less biased and accurate than some commonly used chi-square tests. INDEX WORDS: Intraclass correlation coefficient, Test of homogeneity, Data driven approach, Bootstrap, Chi-square test DATA DRIVEN APPROACHES TO TESTING HOMOGENEITY OF INTRACLASS CORRELATION COEFFICIENTS" @default.
- W770846076 created "2016-06-24" @default.
- W770846076 creator A5018193139 @default.
- W770846076 date "2010-01-01" @default.
- W770846076 modified "2023-09-26" @default.
- W770846076 title "Data Driven Approaches to Testing Homogeneity of Intraclass Correlation Coefficients" @default.
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