Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.
| ISBN: | 9780898713794 |
| Publication date: | 31st December 1996 |
| Author: | Peter J Huber |
| Publisher: | Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics |
| Format: | Paperback |
| Pagination: | 67 pages |
| Series: | CBMS-NSF Regional Conference Series in Applied Mathematics |
| Genres: |
Probability and statistics Applied mathematics |