A01=Bradley Efron
A01=R.J. Tibshirani
advanced statistical inference applications
Author_Bradley Efron
Author_R.J. Tibshirani
Bootstrap standard errors
Category=PBT
Category=PBW
confidence interval estimation
curve fitting
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
hypothesis testing techniques
jackknife procedure
Least median of squares
lutenizing hormone
More complicated data structures
nonparametric statistics
prediction error assessment
Probability theory
Regression models
resampling methods
Standard errors and estimated standard errors
test score data
The accuracy of a sample mean
The bootstrap estimate of standard error
The empirical distribution function
The moving blocks bootstrap
The number of bootstrap replications
The parametric bootstrap
Product details
- ISBN 9780412042317
- Weight: 756g
- Dimensions: 152 x 229mm
- Publication Date: 15 May 1994
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
Bradley Efron, Department of Statistics Stanford University and Robert J. Tibshirani, Department of Preventative Medicine and Biostatistics and Department of Statistics, University of Toronto.
