eprintid: 2197
rev_number: 8
eprint_status: archive
userid: 6
dir: disk0/00/00/21/97
datestamp: 2019-03-07 13:48:29
lastmod: 2019-03-07 13:48:29
status_changed: 2019-03-07 13:48:29
type: book
metadata_visibility: show
creators_name: Efron, Bradley
creators_name: Tibshirani, R
corp_creators: Department of Statistics Stanford University
corp_creators: Department. ofPreventative Medicine and Biostatistics and Department of Statistics, University of Toronto
title: An Introduction to the Bootstrap
subjects: O
full_text_status: none
abstract: Statistics is the science of learning from experience, especially experience that arrives a little bit at a time. The earliest information
science was statistics, originating in about 1650. This century has
seen statistical techniques become the analytic methods of choice
in biomedical science, psychology, education, economics, communications theory, sociology, genetic studies, epidemiology, and other
areas. Recently, traditional sciences like geology, physics, and astronomy have begun to make increasing use of statistical methods
as they focus on areas that demand informational efficiency, such as
the study of rare and exotic particles or extremely distant galaxies.
Most people are not natural-born statisticians. Left to our own
devices we are not very good at picking out patterns from a sea
of noisy data. To put it another way, we are all too good at picking out non-existent patterns that happen to suit our purposes.
Statistical theory attacks the problem from both ends. It provides
optimal methods for finding a real signal in a noisy background,
and also provides strict checks against the overinterpretation of
random patterns.
date: 1994-05
date_type: published
publisher: CRC Press
pages: 456
isbn: 9780412042317
official_url: https://www.crcpress.com/An-Introduction-to-the-Bootstrap/Efron-Tibshirani/p/book/9780412042317
access_IS-EPOS: unlimited
software_references: Test_for_Multimodal_Magnitude_Distrybution
owner: Publisher
citation:   Efron, Bradley and Tibshirani, R  (1994) An Introduction to the Bootstrap.    CRC Press.  ISBN 9780412042317