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x Computational Statistics Handbook with MATLAB
Basic Monte Carlo Procedure
Monte Carlo Hypothesis Testing
Monte Carlo Assessment of Hypothesis Testing
6.4 Bootstrap Methods
General Bootstrap Methodology
Bootstrap Estimate of Standard Error
Bootstrap Estimate of Bias
Bootstrap Confidence Intervals
Bootstrap Standard Confidence Interval
Bootstrap-t Confidence Interval
Bootstrap Percentile Interval
6.5 MATLAB Code
6.6 Further Reading
Exercises
Chapter 7
Data Partitioning
7.1 Introduction
7.2 Cross-Validation
7.3 Jackknife
7.4 Better Bootstrap Confidence Intervals
7.5 Jackknife-After-Bootstrap
7.6 MATLAB Code
7.7 Further Reading
Exercises
Chapter 8
Probability Density Estimation
8.1 Introduction
8.2 Histograms
1-D Histograms
Multivariate Histograms
Frequency Polygons
Averaged Shifted Histograms
8.3 Kernel Density Estimation
Univariate Kernel Estimators
Multivariate Kernel Estimators
8.4 Finite Mixtures
Univariate Finite Mixtures
Visualizing Finite Mixtures
Multivariate Finite Mixtures
EM Algorithm for Estimating the Parameters
Adaptive Mixtures
8.5 Generating Random Variables
8.6 MATLAB Code
© 2002 by Chapman & Hall/CRC