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Statistical analyses for round robin interaction data
Authors:Paramjit S. Gill  Tim B. Swartz
Abstract:This paper considers the analysis of round robin interaction data whereby individuals from a group of subjects interact with one another, producing a pair of outcomes, one for each individual. The authors provide an overview of the various analyses applied to these types of data and extend the work in several directions. In particular, they provide a fully Bayesian analysis for such data and use a real data example for illustration purposes.
Keywords:Bayesian methods  components of covariance  linear mixed models  Markov chain Monte Carlo  parametric bootstrap  social relations models
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