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John Tukey contributed greatly to statistical practice and data analysis in general. In fact, some regard John Tukey as the father of data science. At the very least, he pioneered many of the key foundations of what came later to be known as data science.
- On Denumerability in Topology
- Mathematician
26 de jul. de 2000 · As an academic couple, John and Elizabeth Tukey achieved the highest standards for wisdom and kindness. Tukey's first major contribution to statistics was his introduction of modern techniques for the estimation of spectra of time series. E J Hannan, reviewing Tukey's papers on this topic writes:-
30 de set. de 2020 · The statistician John Tukey is regarded by some as the father, or at least one of the fathers, of data science. Before Tukey, statistics meant inference (p-values, ANOVA, etc.) and models. Tukey brought to the discipline a whole new perspective: exploring the data to see what it is telling us.
BY PETER J. HUBER. We summarize John W. Tukey’s contributions to robust statistics, sepa-rating them into four categories: conceptual; tools; techniques; procedures. In robustness, as in every area he touched, John Tukey produced hundreds of original ideas, some brilliant, fundamental and lasting, some ephemeral.
- Peter J. Huber
- 2002
As both practicing data analyst and scientific methodologist, John W. Tukey made an immense diversity of contributions to science, government and industry. This article reviews some of the highly varied aspects of his life. Following articles address specific contributions to important areas of statistics.
- Dav I D R. Brillinger
- 2002
1576. Practical applications. Tukey developed a variety of methods, as well as a number of graphical techniques and reference tables to support their use. In addition he published interesting applications as exemplars of good statistical practice.
The Annals of Statistics. 2002, Vol. 30, No. 6, 1649-1665. JOHN W. TUKEY'S CONTRIBUTIONS TO ANALYSIS. OF VARIANCE. BY T. P. SPEED. University of California, Berkeley. John Tukey connected the theory underlying simple random sampling without replacement, cumulants, expected mean squares and spectrum. analysis.