Abstract

This is a survey article concerning recent advances in certain areas of statistical theory, written for a mathematical audience with no background in statistics. The topics are chosen to illustrate a special point: how the advent of the high-speed computer has affected the development of statistical theory. The topics discussed include nonparametric methods, the jackknife, the bootstrap, cross-validation, error-rate estimation in discriminant analysis, robust estimation, the influence function, censored data, the EM algorithm, and Cox’s likelihood function. The exposition is mainly by example, with only a little offered in the way of theoretical development.

Keywords

Jackknife resamplingExposition (narrative)Nonparametric statisticsStatistical theoryStatisticsComputer scienceMathematical statisticsComputational statisticsDiscriminant function analysisFunction (biology)Likelihood functionEstimationStatistical thinkingEconometricsMathematicsEstimation theoryEngineering

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1979 The Annals of Statistics 16966 citations

Publication Info

Year
1979
Type
article
Volume
21
Issue
4
Pages
460-480
Citations
858
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

858
OpenAlex
27
Influential
599
CrossRef

Cite This

Bradley Efron (1979). Computers and the Theory of Statistics: Thinking the Unthinkable. SIAM Review , 21 (4) , 460-480. https://doi.org/10.1137/1021092

Identifiers

DOI
10.1137/1021092

Data Quality

Data completeness: 77%