John Tukey's impact on statistics, and on science in general, is broad and lasting. This article discusses some of these contributions, with a special emphasis on those that led to the development of robust methods and data exploration. In view of today's emphasis on data mining techniques, the recollection of Tukey's influence is especially timely.
Publié le : 2003-08-14
Classification:
Robust methods,
exploratory data analysis,
statistical graphics,
biweight,
boxplot,
Gaussian distributions,
long-tailed distributions,
contaminated normal distributions,
time series
@article{1076102419,
author = {Kafadar, Karen},
title = {John Tukey and Robustness},
journal = {Statist. Sci.},
volume = {18},
number = {1},
year = {2003},
pages = { 319-331},
language = {en},
url = {http://dml.mathdoc.fr/item/1076102419}
}
Kafadar, Karen. John Tukey and Robustness. Statist. Sci., Tome 18 (2003) no. 1, pp. 319-331. http://gdmltest.u-ga.fr/item/1076102419/