Inferences on the Intraclass Correlation Coefficients in the Unbalanced Two-way Random Effects Model with Interaction
In this paper, the hypothesis testing and interval estimation for the intraclass correlation coefficients are considered in a two-way random effects model with interaction. Two particular intraclass correlation coefficients are described in a reliability Study. The tests and confidence intervals for the intraclass correlation coefficients are developed when the data are unbalanced. One approach is based on the generalized p-value and generalized confidence interval, the other is based on the modified large-sample idea. These two approaches simplify to the ones in Gilder et al(J. Statist. Plann. Inference, 137(2007), 1199-1212) when the data are balanced. Furthermore, some statistical properties of the generalized confidence intervals are investigated. Finally, some simulation results to compare the performance of the modified large-sample approach with that of the generalized approach are reported. The simulation results indicate that the modified large-sample approach performs better than the generalized approach in the coverage probability and expected length.
Generalized p-value Generalized confidence interval Modified large-sample approach Interrater reliability Intrarater reliability Coverage probability
Ren-Dao Ye Song-Gui Wang
College of Applied Sciences, Beijing University of Technology, Beijing, China
国际会议
北京
英文
163-187
2008-08-10（万方平台首次上网日期，不代表论文的发表时间）