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Introduction to general and generalized linear models.


Introduction to general and generalized linear models.

Madsen, Henrik and Poul Thyregod.

CRC Press


302 pages



Chapman & Hall/CRC texts in statistical science series


In this text, separate chapters on likelihood-based general and generalized linear statistical models allow for comparison between these two important classes of models. The text presents well-know analyses based on Gaussian data and generalizes them to a much broader family of problems that are linked to binary, positive, integer, ordinal, and qualitative data. Coverage also includes non-Gaussian hierarchical models that are members of the exponential family of distributions. Examples show how different types of problems are solved using the statistical software R. Other software packages are also discussed. Theorems are used to emphasize the most important results, but proofs are provided only if they clarify the results. A final chapter contains real-life application problems. A companion website provides solutions, additional exercises, data sets, and lecture slides. The text is meant for an introductory course on general, generalized, and mixed effects models. Madsen and Thyregod are affiliated with the Technical University of Denmark.

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Publication:Reference & Research Book News
Article Type:Book review
Date:Apr 1, 2011
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