Generalized Linear Models

Discover the intricacies of statistical modeling with "Generalized Linear Models" by Taylor & Francis Inc. Published in 2000, this comprehensive hardback edition spans 442 pages, offering a deep dive into the world of generalized linear models (GLMs) from a Bayesian perspective. This essential guide not only explains how to conceptualize and perform traditional GLMs but also equips readers with the skills to critique and enhance their models using modern computational methods. With a focus on dynamic modeling, the book explores both parametric and semiparametric approaches to overdispersed GLMs, making it a valuable resource for statisticians and data scientists alike. Elevate your understanding of GLMs and enhance your analytical skills with this insightful publication.