John Chambers (statistician)

John Mckinley Chambers ( born April 28, 1941 in Toronto ) is a Canadian computer scientist and statistician. He is known for the development of statistical software S (1976 ) and its successor, R.

Chambers studied at the University of Toronto with a bachelor's degree in 1963 and from Harvard University with a master's degree in 1965 and his doctorate in statistics in 1966. Afterwards, he was at Bell Laboratories as a supervisor of Statistics. 1966/67, he was a visiting professor at Imperial College London, in 1969 from Harvard University and in 1971 at Princeton University. 1981 to 1983 he headed the department of Advanced Software at Bell Lab and 1983 to 1989, he conducted the research in the area of ​​statistics and data analysis. He then returned at Bell Labs back to research. In 1995 he was Distinguished Member of the Technical Staff in 1997 and a Fellow of Bell Labs. In 2005 he went into retirement. Since then he has taught at the University of Auckland, the University of California, Los Angeles, and Stanford University.

He is a Fellow of the Association for Computing Machinery, the Royal Statistical Society, the Institute of Mathematical Statistics and the American Statistical Association and a member of the International Statistical Institute. In 2004 he became an honorary doctorate from the University of Waterloo. In 1999 he received the ACM Software System Award for the development of S.

Writings

  • Published by Trevor J. Hastie: Statistical Models in S, Wadsworth and Brooks 1992
  • Programming with Data: A guide to the S Language, Springer Verlag 1998
  • With others: Graphical Models for Data Analysis, Wadsworth International 1983
  • Richard A. Becker: Extending the S System, Wadsworth 1985
  • Richard A. Becker: S: on interactive environment for data analysis and graphics, Wadsworth 1984
  • Richard A. Becker, Allan R. Wilks: The new S language: a programming environment for data analysis and graphics, Wadsworth and Brooks 1988
  • Software for Data Analysis: Programming with R, Springer Verlag 2008
  • Computational Methods for Data Analysis, Wiley 1977
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