Computer-intensive methods in statistical analysis

Author

Politis, Dimitris N.

Author_Institution

California Univ., San Diego, La Jolla, CA, USA

Volume

15

Issue

1

fYear

1998

fDate

1/1/1998 12:00:00 AM

Firstpage

39

Lastpage

55

Abstract

As far back as the late 1970s, the impact of affordable, high-speed computers on the theory and practice of modern statistics was recognized by Efron (1979, 1982). As a result, the bootstrap and other computer-intensive statistical methods (such as subsampling and the jackknife) have been developed extensively since that time and now constitute very powerful (and intuitive) tools to do statistics with. This article provides a readable, self-contained introduction to the bootstrap and jackknife methodology for statistical inference; in particular, the focus is on the derivation of confidence intervals in general situations. A guide to the available bibliography on bootstrap methods is also offered

Keywords

signal sampling; statistical analysis; bibliography; bootstrap methods; computer-intensive methods; confidence intervals; high-speed computers; hypothesis testing; jackknife; resampling; statistical analysis; subsampling; Density functional theory; Gaussian distribution; Sampling methods; Shape; Statistical analysis; Statistical distributions; Statistics;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/79.647042

Filename

647042