| Title:
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ROBUST STATISTICAL PROCEDURES
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| By: |
Peter J. Huber, Ron Rozier |
| Format: |
Paperback |
| List price:
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£52.00 |
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| ISBN 10: |
089871379X |
| ISBN 13: |
9780898713794 |
| Publisher: |
SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S. |
| Pub. date: |
1 January, 1987 |
| Edition: |
2nd Revised edition |
| Series: |
CBMS-NSF Regional Conference Series 27 |
| Pages: |
77 |
| Description: |
Offers a brief, well-organised, 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). |
| Synopsis: |
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. |
| Publication: |
US |
| Imprint: |
Society for Industrial & Applied Mathematics,U.S. |
| Returns: |
Returnable |