CONTENTS
1.2 Definition and Relationship to the Delta Method and Other Resampling Methods
1.3 Wide Range of Applications
1.4 The Bootstrap and the R Language System
2.1.2 Error Rate Estimation in Discriminant Analysis
2.1.3 Simple Example of Linear Discrimination and Bootstrap Error Rate Estimation
2.3.1 Estimating an Estimate's Standard Error
2.3.2 Estimating Interquartile Range
2.4.3 Bootstrapping Pairs (Response and Predictor Vector)
2.4.4 Heteroscedasticity of Variance: The Wild Bootstrap
2.4.5 A Special Class of Linear Regression Models: Multivariable Fractional Polynomials
2.5.1 Examples of Nonlinear Models
2.5.2 A Quasi-Optical Experiment
2.6.1 Examples of Nonparametric Regression Models
3.1 Subsampling, Typical Value Theorem, and Efron's Percentile Method
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