Elements of Computational Statistics
This book describes techniques used in computational statistics and considers some of the areas of applications, such as density estimation and model building, in which computationally intensive methods are useful. In computational statistics, computation is viewed as an instrument of discovery; the...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2002, 2002
|
| Edition: | 1st ed. 2002 |
| Series: | Statistics and Computing
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Methods of Computational Statistics
- Preliminaries
- Monte Carlo Methods for Inference
- Randomization and Data Partitioning
- Bootstrap Methods
- Tools for Identification of Structure in Data
- Estimation of Functions
- Graphical Methods in Computational Statistics
- Data Density and Structure
- Estimation of Probability Density Functions Using Parametric Models
- Nonparametric Estimation of Probability Density Functions
- Structure in Data
- Statistical Models of Dependencies