Computational Statistics

1. Mathematical and Statistical Preliminaries
James E. Gentle

2. Computer Storage and Arithmetic
James E. Gentle

3. Algorithms and Programming
James E. Gentle

4. Approximation of Functions and Numerical Quadrature
James E. Gentle

5. Numerical Linear Algebra
James E. Gentle

6. Solution of Nonlinear Equations and Optimization
James E. Gentle

7. Generation of Random Numbers
James E. Gentle

8. Graphical Methods in Computational Statistics
James E. Gentle

9. Tools for Identification of Structure in Data
James E. Gentle

10. Estimation of Functions
James E. Gentle

11. Monte Carlo Methods for Statistical Inference
James E. Gentle

12. Data Randomization, Partitioning, and Augmentation
James E. Gentle

13. Bootstrap Methods
James E. Gentle

14. Estimation of Probability Density Functions Using Parametric Models
James E. Gentle

15. Nonparametric Estimation of Probability Density Functions
James E. Gentle

16. Statistical Learning and Data Mining
James E. Gentle

17. Statistical Models of Dependencies
James E. Gentle

Avainsanat: Statistics, Statistics and Computing/Statistics Programs, Numeric Computing, Data Mining and Knowledge Discovery, Simulation and Modeling, Appl.Mathematics/Computational Methods of Engineering, Numerical Analysis