A new edition of the classic, groundbreaking book on robust statistics <p> Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly upda
Robust Statistics
โ Scribed by Peter J. Huber(auth.)
- Publisher
- John Wiley & Sons, Inc. All rights reserved.
- Year
- 2004
- Tongue
- English
- Leaves
- 321
- Series
- Wiley Series in Probability and Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
Content:๐ SIMILAR VOLUMES
A new edition of the classic, groundbreaking book on robust statisticsOver twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expan
A new edition of the classic, groundbreaking book on robust statistics <p> Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly upda
Other volumes in the Wiley Series in Probability and Mathematical Statistics Abstract Inference UIf Grenander The traditional setting of statistical inference is when both sample space and parameter space are finite dimensional Euclidean spaces or subjects of such spaces. During the last decades, ho