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.
Book InformationISBN 9780898713794
Author Peter J. HuberFormat Paperback
Page Count 77
Imprint Society for Industrial & Applied Mathematics,U.S.Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 165g
Dimensions(mm) 251mm * 171mm * 7mm