Log-Linear Models and Logistic Regression
$198.49
- Hardcover
545 pages
- Release Date
18 April 2025
Summary
Decoding Categorical Data: Log-Linear Models and Logistic Regression
This book delves into the world of statistical models designed for frequency data, primarily focusing on log-linear models for contingency tables, alongside a comprehensive exploration of logistic regression. It also touches upon related topics like logistic discrimination, generalized linear models, and correspondence analysis.
Designed for readers already familiar with analysis of variance and regression,…
Book Details
| ISBN-13: | 9783031690372 |
|---|---|
| ISBN-10: | 3031690370 |
| Series: | Springer Texts in Statistics |
| Author: | Ronald Christensen |
| Publisher: | Springer International Publishing AG |
| Imprint: | Springer International Publishing AG |
| Format: | Hardcover |
| Number of Pages: | 545 |
| Release Date: | 18 April 2025 |
| Weight: | 0g |
| Dimensions: | 235mm x 155mm |
About The Author
Ronald Christensen
Ronald Christensen is a Distinguished Professor of Statistics at the University of New Mexico.
He is well known for his work on the theory and application of statistical models having linear structure.
In addition to numerous technical articles, he is the author of Plane Answers to Complex Questions: The Theory of Linear Models; Advanced Linear Modeling: Statistical Learning and Dependent Data; Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data and coauthor of Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians.
Dr. Christensen is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. His is a past editor of The American Statistician and a past chair of the ASA’s Section on Bayesian Statistical Science.
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