| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7548432 | Statistics & Probability Letters | 2018 | 5 Pages |
Abstract
We outline objective Bayesian testing procedure for the intraclass correlation coefficient in linear models. For it, we derive the Bayes factors based on the divergence-based priors, which have unidimensional integral expressions and can thus be easily approximated numerically.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Duo Zhang, Min Wang,