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Log-Linear Models: 1st (First) Edition
Introduces methods for quantitative assessment of relationships among categoric variables in multivariable crosstabulations. Procedures to estimate and interpret effect parameters for hierarchical models are described for both the general loglinear model and its logit version.
Paperback
First published August 1, 1980
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October 2, 2016
Though I love this series, I don't know that this ranks among the best at explaining log-linear models. The real problem is that the rest of the series really does an amazing job of explaining ridiculously hard concepts, where as this one was ok, but not fabulous.
I would think, though for those that need to learn about log linear models and are specifically doing work on polling, this would speak volumes to them.
I would think, though for those that need to learn about log linear models and are specifically doing work on polling, this would speak volumes to them.
Displaying 1 of 1 review