John Nelder is one of today's leading statisticians, having made an impact on many parts of the discipline. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is noteworthy for its breadth of coverage.Contents:John Nelder: From General Balance to Generalised Models (Both Linear and Hierarchical) (S Senn)Some Remarkes on Model Criticism (D R Cox)Likelihood Perspectives in the Consensus and Controversies of Statistical Modelling and Inference (Y Pawitan)Perspectives of ANOVA, REML and a General Linear Mixed Model (B R Cullis et al.)Algorithms, Data Structures and Languages — the Computational Ingredients for Innovative Analysis (R Payne)Non-Linear Regression Modelling and Inference (J C Wakefield)Selecting Amongst Large Classes of Models (B D Ripley)Principles of Designed Experiments in J A Nelder's Papers (R A Bailey)Likelihood-based Models Beyond GLMs (Y Lee)A Statistical Examination of the Hastings Rarities (J A Nelder)Readership: Students of statistics at masters or PhD level, as well as practising statisticians.