This book is about generalized linear models as described by NeIder and Wedderburn (1972). This approach provides a unified theoretical and computational framew

Statisticians rely heavily on making models of 'causal situations' in order to fully explain and predict events. Modelling therefore plays a vital part in all a

Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical infere

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are funda

Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest resear