Objective Bayesian inference for the intraclass correlation coefficient in linear models
Document Type
Article
Publication Date
6-2018
Department
Department of Mathematical Sciences
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.
Publication Title
Statistics and Probability Letters
Recommended Citation
Zhang, D.,
&
Wang, M.
(2018).
Objective Bayesian inference for the intraclass correlation coefficient in linear models.
Statistics and Probability Letters,
137, 292-296.
http://doi.org/10.1016/j.spl.2018.02.004
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/7123