November 2011
Beginner to intermediate
240 pages
7h 17m
English
book
An Introduction to Bootstrap Methods with Applications to R
by Michael R. Chernick, Robert A. LaBudde
Content preview from An Introduction to Bootstrap Methods with Applications to RBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
SUBJECT INDEX
632 estimator, 2, 8, 25, 36–41, 43, 68, 136
A posteriori probabilities, 33, 171
A priori probability, 34
ABC (approximate bootstrap confidence) intervals, 79, 85, 87, 88, 90–94, 96, 97
acceleration constant, 85–87, 91
AIC (Akaike's information crterion), 12, 149–152
Alternating conditional expectation (ACE), 65
historical notes, 69
Apparent error rate bias
bootstrap estimation, 2, 36, 37
discrimination, 32, 35, 36, 43, 67
error rate estimation, 8, 25, 35, 36, 37 67
Area under the concentration vs. time curve (AUC), 177, 178
Asymptotic theory, 5, 6, 7, 9, 25, 61, 67, 80, 83–85, 87, 88, 90, 95, 96, 104, 119, 147, 190, 192–198, 200
asymptotic consistency, 2, 3, 5, 25, 140 164, 182
asymptotic normality, 3, 54, 192
central limit theory, 102
inconsistency, 164, 191–198, 200
Autoregressive bootstrap (ARB), 118, 119, 120, 123, 197, 198
Bayes' theorem, 33
Bayesian bootstrap, 137, 138, 141, 143
BIC (Bayesian information criterion), 149, 154, 182
Binary Dose Response Model, 108
Bioequivalence, 9, 52, 162–165, 183, 188, 189
Efron's patch data example, 51
individual bioequivalence, 9
population bioequivalence, 165, 183
Block bootstrap, 60, 118–120, 123–127, 129, 130
circular block bootstrap (CBB), 124, 129, 130
fixed block bootstrap, 125
history, 123
moving block bootstrap, 3, 120, 123, 126, 127, 129, 130, 198
non-overlapping block bootstrap (NBB), 124
spatial data
asymptotics, 147
stationary block bootstrap (SBB), 124, 125
tapered block bootstrap (TBB), ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.