Robust Estimates of Location : : Survey and Advances / / David F. Andrews, Frank R. Hampel.
Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these conditions are never known exactly, the estim...
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| Superior document: | Title is part of eBook package: De Gruyter Princeton Legacy Lib. eBook Package 1931-1979 |
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| VerfasserIn: | |
| Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2015] ©1972 |
| Year of Publication: | 2015 |
| Language: | English |
| Series: | Princeton Legacy Library ;
1280 |
| Online Access: | |
| Physical Description: | 1 online resource (384 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Table of Contents
- 1. Introduction
- 2. Estimates
- 3. Asymptotic Characteristics of the Estimates
- 4. Finite-Sample Calculations
- 5. Properties
- 6. A Detailed Analysis of the Variances
- 7. General Discussion
- Appendices
- 11. Programs of the Estimates
- 12. Random Number Generation-Details
- 13. Dual-Criterion Problems in Estimation
- 14. Integration Formulas, More or Less Replacement for Monte Carlo
- 15. Monte Carlo for Contaminated Gaussians
- References