The Future of Data Analysis
1962/03/01 by John W. Tukey · 1,873 citations
Computer Science · Economics, Econometrics and Finance · Mathematics · #Complex Systems and Time Series Analysis #Econometrics #Mathematics #Time Series Analysis and Forecasting
paper · pdf · doi:10.1214/aoms/1177704711
published in The Annals of Mathematical Statistics 33(1), 1-67 (Institute of Mathematical Statistics)
openalex publication_date 1962/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Abstract
For a long time I have thought I was a statistician, interested in inferences from the particular to the general. But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt. And when I have pondered about why such techniques as the spectrum analysis of time series have proved so useful, it has become clear that their “dealing with fluctuations” aspects are, in many circumstances, of lesser importance than the aspects that would already have been required to deal effectively with the simpler case of very extensive data, where fluctuations would no longer be a problem. All in all, I have come to feel that my central interest is in data analysis, which I take to include, among other things: procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.
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