Logistic Regression Models

Discover the comprehensive insights of Logistic Regression Models by Joseph M. Hilbe, published by Taylor & Francis Ltd in 2009. This hardback edition spans an impressive 656 pages and serves as an essential resource for anyone interested in logistic regression analysis.

This book provides a thorough overview of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Additionally, it delves into advanced topics such as panel, survey, skewed, penalized, and exact logistic models. With practical applications highlighted in health and social science data, readers will gain valuable insights into how to effectively implement these models in real-world scenarios.

Whether you are a student, researcher, or professional in the field of statistics, Logistic Regression Models is a must-have addition to your library, enhancing your understanding of probability and statistics.