Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter 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.
Read More
Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter 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.
Read Less
Publisher:
Society for Industrial and Applied Mathematics (SIAM)
Published:
1996
Language:
English
Alibris ID:
17675265557
Shipping Options:
Standard Shipping: $4.62
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good. Text is unmarked; pages are bright. Binding is sturdy. Covers show just a little light wear around the corners and at the head and base of the spine.
Publisher:
Society for Industrial and Applied Mathematics (SIAM)
Published:
1979
Language:
English
Alibris ID:
16621305970
Shipping Options:
Standard Shipping: $4.62
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good. Second printing, 1979. Softcover, clean unmarked text, 56 pp., Very Good copy, owner's signature on the front cover, some soiling and discoloration to the covers, covers with some creasing and wear to the tips.
