|John Ashworth Nelder|
8 October 1924|
Brushford, Somerset, England
|Died||7 August 2010
Luton, Bedfordshire, England
|Institutions||National Vegetable Research Station
Rothamsted Experimental Station
Imperial College London
|Alma mater||University of Cambridge|
|Known for||Generalized linear models, analysis of complex experimental designs, Nelder–Mead algorithm, GLIM, GenStat|
|Notable awards||Fellow of the Royal Society (1976)
Guy Medal (Silver, 1977) (Gold, 2005)
John Ashworth Nelder FRS (8 October 1924 – 7 August 2010) was a British statistician known for his contributions to experimental design, analysis of variance, computational statistics, and statistical theory.
Nelder's work was influential in statistics. While leading research at Rothamsted Experimental Station, Nelder developed and supervised the updating of the statistical software packages GLIM and GenStat: Both packages are flexible high-level programming languages that allow statisticians to formulate linear models concisely. GLIM influenced later environments for statistical computing such as S-PLUS and R. Both GLIM and GenStat have powerful facilities for the analysis of variance for block experiments, an area where Nelder made many contributions.
In statistical theory, Nelder and Wedderburn proposed the generalized linear model. Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear regression, logistic regression and Poisson regression. They proposed an iteratively reweighted least squares method for maximum likelihood estimation of the model parameters.
In statistical inference, Nelder (along with George Barnard and A. W. F. Edwards) emphasized the importance of the likelihood in data analysis, promoting this "likelihood approach" as an alternative to frequentist and Bayesian statistics.
Nelder's appointments included Head of the Statistics Section at the National Vegetable Research Station, Wellesbourne from 1951 to 1968 and Head of the Statistics Department at Rothamsted Experimental Station from 1968 to 1984. During his time at Wellesbourne he spent a year (1965–1966) at the Waite Institute in Adelaide, South Australia, where he worked with Graham Wilkinson on Genstat. He held an appointment as Visiting Professor at Imperial College London from 1972 onwards.
He was responsible, with Max Nicholson and James Ferguson-Lees, for debunking the Hastings Rarities – sightings of a series of rare birds, preserved by a taxidermist and provided with bogus histories.
Awards and distinctions
As tribute on his eightieth birthday, a festschrift Methods and Models in Statistics: In Honour of Professor John Nelder, FRS was edited by Niall Adams, Martin Crowder, David J Hand & Dave Stephens, Imperial College Press (2004).
The first annual John Nelder memorial lecture was help at Imperial College London, on 8 March 2012, as part of the Mathematics department Colloquium series. The lecture was given by John's long term co-author, Prof Peter McCullagh. An interview with Peter McCullagh, about statistical modelling, includes some reminiscences about John.
- JN and R. W. M. Wedderburn, "Generalized Linear Models", J. R. Statist. Soc. A, 135 (1972) 370–384.
- McCullagh, P. and J.A. Nelder. 1989. Generalized Linear Models. 2nd ed. Chapman & Hall/CRC, Boca Raton, Florida. ISBN 0-412-31760-5
- Lee, Y., J.A. Nelder, and Y. Pawitan. 2006. Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood. Chapman & Hall/CRC, Boca Raton, Florida. ISBN 1-58488-631-5
- Payne, Roger; Senn, Stephen (23 September 2010). "John Nelder obituary". The Guardian. Retrieved 12 December 2013.
- Nelder, John; Wedderburn, Robert (1972). "Generalized Linear Models". Journal of the Royal Statistical Society. Series A (General) 135 (3): 370–384. doi:10.2307/2344614. JSTOR 2344614.
- Nelder, J.A. (1962). A statistical examination of the Hastings Rarities. British Birds, August 1962.
- Payne, Roger. "John Ashworth Nelder". VSN International. Retrieved 16 August 2010.
- Royal Society citation
- Imperial College Press Newsletter