Adams J. et al. (Eds.) Methods and Models in Statistics

Imperial College Press, 2004. — 260 pages ISBN: 1860944639, 9781860944635This book contains written versions of papers presented at a two-day symposium in March 2004 in honour of Professor John Nelder, FRS. John Nelder is one of today's leading statisticians, having had a fundamental impact on a variety of areas of data analysis. The papers here have been seselected to indicate the breadth of that impact. They range from the collection of data (Bailey on experimental design), over the fundamentals of statistics (Cox), through statistical modelling (Cullis, Smith, and Thompson, Wakefield, and Ripley), via statistical computing (Payne), to generalisations of that core statistical concept of likelihood (Pawitan, Lee). Also included is a biographical sketch of John, by Senn, and a bibliography of John's works to date (he is still carrying out and publishing important work).
Readers may not know that John is also a keen ornithologist. In recognition of this, we have included here one of his earliest papers, a paper that combines his statistical and ornithological interests: A statistical examination of the Hastings Rarities.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)