Details

Robust Statistics


Robust Statistics


Wiley Series in Probability and Statistics, Band 579 1. Aufl.

von: Peter J. Huber

83,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 04.02.2005
ISBN/EAN: 9780471725244
Sprache: englisch
Anzahl Seiten: 320

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Beschreibungen

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.
1. Generalities. <p>2. The Weak Topology and Its Metrization.</p> <p>3. The Basic Types of Estimates.</p> <p>4. Asymptotic Minimax Theory for Estimating a Location Parameter.</p> <p>5. Scale Estimates.</p> <p>6. Multiparameter Problems, In Particular Joint Estimation of Location and Scale.</p> <p>7. Regression.</p> <p>8. Robust Covariance and Correlation Matrices.</p> <p>9. Rubustness of Design.</p> <p>10. Exact Finite Sample Results.</p> <p>11. Miscellaneous Topics.</p> <p>References. </p> <p>Index.</p>
“…informative and worth the effort for anyone with an interest in this field...” (<i>ISCB News 38</i>, December 2004)
Peter J. Huber was formerly a Professor of Statistics at Harvard University and ETH Zurich. Dr. Huber received his Ph.D. in Mathematics from ETH Zurich in 1961.
WILEY-INTERSCIENCE PAPERBACK SERIES<br /> The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. <p>From the Reviews of Robust Statistics</p> <p>"Robust Statistics is required reading for anyone involved in robustness research or desiring to start a research program in robustness."<br /> –Journal of the American Statistical Association</p>

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