An Introduction to Generalized Linear Models Annette J. Dobson and Adrian G. Barnett is an English-language textbook on generalized linear models. The book is suitable for students in higher education who want to delve into statistical modeling.
This edition provides a clear overview of the theory and application of generalized linear models. The authors cover various distributions such as Normal, Poisson, and Binomial, and discuss methods for linear regression, model selection, and statistical inference. In addition, topics such as analysis of variance (ANOVA), logistic regression, multilevel modeling, and Bayesian techniques are addressed.
This book is a practical reference work that fits with fields such as probability and statistics, social research, and regression analysis. It emphasizes both numerical and graphical methods with attention to good statistical practice.
Series: Chapman & Hall/CRC Texts in Statistical Science