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George E. P. Box

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Also known as George Box, George Edward Pelham Box, G. E. P. Box

British statistician (1919-2013)

Person · Open Library

Born
1869
Died
1933
Works
26

Top works

  • Statistics for Experimenters Set
  • Statistical Control by Monitoring and Adjustment
  • Statistical Control by Monitoring and Adjustment
  • Accidental Statistician, an
  • Bayesian Inference in Statistical Analysis

via Open Library + Wikidata

Music · MusicBrainz

Type
Group
Origin
United States
Active from
1972-10
heartland rockpop rockrock

Discography

via MusicBrainz · CC0

Recent publications · Crossref

5 total works indexed

  1. A short history of<i>SHELX</i>

    · 2007 · cited 79,956x

  2. Bias in meta-analysis detected by a simple, graphical test

    · 1997 · cited 48,659x

  3. Crystal structure refinement with<i>SHELXL</i>

    · 2015 · cited 40,947x

  4. <i>SHELXT</i>– Integrated space-group and crystal-structure determination

    · 2015 · cited 27,702x

  5. A new and rapid colorimetric determination of acetylcholinesterase activity

    · 1961 · cited 23,211x

via Crossref · CC0

Quotes

  • Statistical criteria should (1) be sensitive to change in the specific factors tested, (2) be insensitive to changes, of a magnitude likely to occur in practice, in extraneous factors.
  • We have a large reservoir of engineers (and scientists) with a vast background of engineering know how. They need to learn statistical methods that can tap into the knowledge. Statistics used as a catalyst to engineering creation will, I believe, always result in the fastest and most economical progress…
  • All models are wrong; some models are useful.
  • One important idea is that science is a means whereby learning is achieved, not by mere theoretical speculation on the one hand, nor by the undirected accumulation of practical facts on the other, but rather by a motivated iteration between theory and practice.
  • Since all models are wrong the scientist cannot obtain a "correct" one by excessive elaboration. On the contrary following William of Occam he should seek an economical description of natural phenomena. Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.
  • The researcher hoping to break new ground in the theory of experimental design should involve himself in the design of actual experiments. The investigator who hopes to revolutionize decision theory should observe and take part in the making of important decisions.

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