Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Medium
Language
Region
Years
Subjects(RVK)
Access
  • 1
    Online Resource
    Online Resource
    Philadelphia, Pa. :Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),
    UID:
    almahu_9947357913302882
    Format: 1 electronic text (ix, 67 p.) : , ill., digital file.
    Edition: 2nd ed.
    ISBN: 9781611970036 (electronic bk.)
    Series Statement: CBMS-NSF regional conference series in applied mathematics ; 68
    Content: 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.
    Note: Preface to the Second Edition -- Preface to the First Edition -- Chapter 1. Background. Why robust procedures? -- Chapter 2. Qualitative and quantitative robustness. Qualitative robustness; Quantitative robustness, breakdown; Infinitesimal robustness, influence function -- Chapter 3. M-,L-, and R-estimates. M-estimates; L-estimates; R-estimates; Asymptotic properties of M-estimates; Asymptotically efficient M-, L-, R-estimates; Scaling question -- Chapter 4. Asymptotic Minimax theory. Minimax asymptotic bias; Minimax asymptotic variance -- Chapter 5. Multiparameter problems. Generalities; Regression; Robust covariances: the affinely invariant case; Robust covariances: the coordinate dependent case -- Chapter 6. Finite sample Minimax theory. Robust tests and capacities; Finite sample minimax estimation -- Chapter 7. Adaptive estimates. Adaptive estimates -- Chapter 8. Robustness: Where are we now? The first ten years; Influence functions and psuedovalues; Breakdown and outlier detection; Studentizing; Shrinking neighborhoods; Design; Regression; Multivariate problems; Some persistent misunderstandings; Future directions -- References. , Also available in print version. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: Print version: ISBN 089871379X
    Additional Edition: ISBN 9780898713794
    Language: English
    URL: SIAM
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
    UID:
    b3kat_BV039747297
    Format: 1 Online-Ressource (ix, 67 Seiten)
    Edition: 2nd ed
    ISBN: 089871379X , 9780898713794
    Series Statement: CBMS-NSF regional conference series in applied mathematics 68
    Note: Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader , Includes bibliographical references (s. 65-67) , Preface to the Second Edition -- Preface to the First Edition -- Chapter 1. Background. Why robust procedures? -- Chapter 2. Qualitative and quantitative robustness. Qualitative robustness; Quantitative robustness, breakdown; Infinitesimal robustness, influence function -- Chapter 3. M-,L-, and R-estimates. M-estimates; L-estimates; R-estimates; Asymptotic properties of M-estimates; Asymptotically efficient M-, L-, R-estimates; Scaling question -- Chapter 4. Asymptotic Minimax theory. Minimax asymptotic bias; Minimax asymptotic variance -- Chapter 5. Multiparameter problems. Generalities; Regression; Robust covariances: the affinely invariant case; Robust covariances: the coordinate dependent case -- Chapter 6. Finite sample Minimax theory. Robust tests and capacities; Finite sample minimax estimation -- Chapter 7. Adaptive estimates. Adaptive estimates -- Chapter 8. Robustness: Where are we now? The first ten years; Influence functions and psuedovalues; Breakdown and outlier detection; Studentizing; Shrinking neighborhoods; Design; Regression; Multivariate problems; Some persistent misunderstandings; Future directions -- References , 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
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 089871379X
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 9780898713794
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Robuste Statistik ; Schätztheorie ; Konferenzschrift
    Author information: Huber, Peter J. 1934-
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Book
    Book
    Philadelphia : SIAM
    UID:
    b3kat_BV011337186
    Format: IX, 67 S. , graph. Darst.
    Edition: 2. ed.
    ISBN: 089871379X
    Series Statement: National Science Foundation / Conference Board of the Mathematical Sciences: CBMS-NSF regional conference series in applied mathematics 68
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Robuste Statistik ; Schätztheorie ; Konferenzschrift
    Author information: Huber, Peter J. 1934-
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Did you mean 9780898713749?
Did you mean 9780198712794?
Did you mean 9780198713784?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages