Statistics for high-dimensional data :methods, theory and applications / Peter Buhlmann
By: Buhlmann, P.
Contributor(s): Sara Van De Geer.
Material type:
BookSeries: Springer series in statistics. Publisher: London: Springer, 2011Description: xvii, 556p.: ill.; 23cm.ISBN: 9783642268571.Subject(s): Mathematical statistics | Linear models (Statistics) | Nonconvex programming
| Item type | Current location | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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GENERAL COLLECTION FOR LOAN
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MULTIMEDIA UNIVERSITY LIBRARY General Stacks | MULTIMEDIA UNIVERSITY LIBRARY General Stacks | Non-fiction | QA276.B84 2011 C.1 (Browse shelf) | C.1 | Available | 120B00289 | ||
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GENERAL COLLECTION FOR LOAN
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MULTIMEDIA UNIVERSITY LIBRARY General Stacks | MULTIMEDIA UNIVERSITY LIBRARY General Stacks | Non-fiction | QA276.B84 2011 C.2 (Browse shelf) | C.2 | Available | 120B00290 |
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| QA275.J67 2020 C.3 Linear estimation and design of experiments / | QA276.B59 1860 Social statistics / | QA276.B76 1953 Industrial experimentation / | QA276.B84 2011 C.1 Statistics for high-dimensional data | QA276.B84 2011 C.2 Statistics for high-dimensional data | QA276.C37 1989 Success in statistics / | QA276.C37 2002 C.1 Statistical inference / |
Includes bibliographical references and index book
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