Multivariate Statistical Modelling Based on Generalized Linear Models

The updated edition focuses on recent advancements in statistical modeling using generalized linear models, reflecting the authors' teaching and research interests. It features a reorganized structure similar to the first edition, emphasizing real data examples with accessible datasets. Key updates include a modernized treatment of marginal models, a comprehensive rewrite of nonparametric and semiparametric regression, and enhanced coverage of parametric modeling for time series and longitudinal data. Additionally, there are significant updates on random effect models and state space/hiddden Markov models.