1991 StatisticalDataAnalysisInTheComputerAge

From GM-RKB
Jump to: navigation, search

Subject Headings: Statistical Data Analysis, The Bootstrap, Nonparametric Regression, Generalized Additive Models, Classification and Regression Trees

Notes

Cited By

Quotes

Abstract

Most of our familiar statistical methods, such as hypothesis testing, linear regression, analysis of variance, and maximum likelihood estimation, were designed to be implemented on mechanical calculators. Modern electronic computation has encouraged a host of new statistical methods that require fewer distributional assumptions than their predecessors and can be applied to more complicated statistical estimators. These methods allow the scientist to explore and describe data and draw valid statistical inferences without the usual concerns for mathematical tractability. This is possible because traditional methods of mathematical analysis are replaced by specially constructed computer algorithms. Mathematics has not disappeared from statistical theory. It is the main method for deciding which algorithms are correct and efficient tools for automating statistical inference.

The Bootstrap

Nonparametric Regression

Generalized Additive Models

Classification and Regression Trees

References

,

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1991 StatisticalDataAnalysisInTheComputerAgeBradley Efron
Robert Tibshirani
Statistical Data Analysis in the Computer AgeScientific Disciplinehttp://biostat.jhsph.edu/~mmccall/articles/efron 1991.pdf10.1126/science.253.5018.3901991