Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27) - Softcover
Synopsis
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.
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About the Author
Peter J. Huber is Professor of Statistics at the University of Bayreuth in Germany.
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Robust Statistical Procedures: Second Edition
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Robust Statistical Procedures
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Robust Statistical Procedures
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Robust Statistical Procedures: 27 (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27)
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Robust Statistical Procedures: 27 (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27)
Published by
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ISBN 13: 9780898713794
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Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27)
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ISBN 13: 9780898713794
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Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 27)
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ISBN 13: 9780898713794
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