Volume 29, Issue 2
Article

Statistical analyses for round robin interaction data

Paramjit S. Gill

Corresponding Author

Dept. of Mathematics and Statistics, Okanagan University College Kelowna, British Columbia, Canada V1V 1V7

Paramjit S. Gill, pgill@ouc.bc.ca

Tim B. Swartz, tim@stat.sfu.ca

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Tim B. Swartz

Corresponding Author

Dept. of Statistics and Actuarial Science, Simon Fraser University Burnaby, British Columbia, Canada V5A 1S6

Paramjit S. Gill, pgill@ouc.bc.ca

Tim B. Swartz, tim@stat.sfu.ca

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First published: 18 December 2008
Citations: 29

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.

Number of times cited according to CrossRef: 29

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