An Introduction to Bootstrap Methods with Applications to R

LIST OF TABLES

2.1 Summary of Estimators Using Root Mean Square Error (Shows the Number of Simulations for Which the Estimator Attained One of the Top Three Ranks among the Set of Estimators)

2.2 Square Root of MSRE for QDA Normal (0, 1) versus Normal (Δ, 1)

2.3 Square Root of MSRE for Five Nearest Neighbor Classifier Chi-Square 1 Degree Of Freedom (df) versus Chi-Square 3df and Chi-Square 5df (Equal Sample Sizes of n/2)

2.4 Square Root of MSRE for Three Nearest Neighbor Classifier Normal Mean = Δ5 dim. and 10 dim. (Equal Sample Sizes of n/2)

2.5 Square Root of MSRE for Three and Five Nearest Neighbor Classifiers with Real Microarray Data (Equal Sample Sizes of n/2)

2.6 Truth Tables for the Six Bootstrap Samples

2.7 Resubstitution Truth Table for Original Data

2.8 Linear Discriminant Function Coefficients for Original Data

2.9 Linear Discriminant Function Coefficients for Bootstrap Samples

3.1 Selling Price of 50 Homes Sold in Seattle in 2002

3.2 Uniform(0, 1) Distribution: Results for Various Confidence Intervals

3.3 ln[Normal(0, 1)] Distribution: Results for Nominal Coverage Ranging 50

3.4 ln[Normal(0, 1)] Distribution

4.1 Summary Statistics for Bootstrap Estimates of Capture Threshold Differences in Atrium Mean Difference Nonsteroid versus Steroid

4.2 Summary Statistics for Bootstrap Estimates of Capture Threshold Differences in Ventricle Mean Difference Nonsteroid versus Steroid

4.3 Dose–Response Models Used to Determine Efficacy of Compound for IBS

4.4 -Statistics, P-Values, ...