| Description |
xiv, 374 pages cm |
| Series |
Springer series in statistics |
|
Springer series in statistics.
|
| Contents |
1. Scope of Resampling Methods for Dependent Data -- 2. Bootstrap Methods -- 3. Properties of Block Bootstrap Methods for the Sample Mean -- 4. Extensions and Examples -- 5. Comparison of Block Bootstrap Methods -- 6. Second-Order Properties -- 7. Empirical Choice of the Block Size -- 8. Model-Based Bootstrap -- 9. Frequency Domain Bootstrap -- 10. Long-Range Dependence -- 11. Bootstrapping Heavy-Tailed Data and Extremes -- 12. Resampling Methods for Spatial Data |
| Summary |
"Can be used as a graduate-level text for a special topics course on resampling methods for dependent data and also as a research monograph for statisticians and econometricians who want to learn more about the topic and want to apply the methods in their own research."--BACK COVER |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Resampling (Statistics)
|
| LC no. |
2003045455 |
| ISBN |
0387009280 alkaline paper |
|
