Abstract
Consider a three-way contingency table {xijk, i=1,...I, j=1,...,J, k=1,...,K}. As model for such data, it may be assumed that the x’s are observed values of random variables Xijk, i=1,...,I, j=1,...,J, k=1,...,K with a multinomial distribution
.
Keywords
- Conditional Independence
- Likelihood Equation
- Association Graph
- Sufficient Marginal
- Observe Test Statistic
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin · Heidelberg
About this chapter
Cite this chapter
Andersen, E.B. (1991). Three-way Contingency Tables. In: The Statistical Analysis of Categorical Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97353-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-97353-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-97355-0
Online ISBN: 978-3-642-97353-6
eBook Packages: Springer Book Archive