Theoretical foundations of functional data analysis, with an introduction to linear operators / Tailen Hsing and Randall Eubank.
Material type:
TextSeries: Wiley series in probability and statisticsPublication details: Chichester : John Wiley and Sons, Inc., c2015.Description: xiii, 333 p. ; 24 cmISBN: - 9780470016916 (cloth)
- 000SA.07 23 H873
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.07 H873 (Browse shelf(Opens below)) | Available | 136471 |
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| 000SA.07 H264 Applied multivariate statistical analysis / | 000SA.07 H286 Essence of multivariate thinking : basic themes and methods / | 000SA.07 H641 Modeling count data / | 000SA.07 H873 Theoretical foundations of functional data analysis, with an introduction to linear operators / | 000SA.07 H972 Exploratory multivariate analysis by example using R / | 000SA.07 H991 Generalized structured component analysis : | 000SA.07 J68 Multivariate statistical simulation |
Includes bibliographical references and indexes.
1. Introduction--
2. Vector and function spaces--
3. Linear operator and functionals--
4. Compact operators and singular value decomposition--
5. Perturbation theory--
6. Smoothing and regularization--
7. Random elements in a Hilbert space--
8. Mean and covariance estimation--
9. Principal components analysis--
10. Canonical correlation analysis--
11. Regression--
References--
Indexes.
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). This book will provide a valuable reference for statisticians and other researchers interested in developing or understanding the mathematical aspects of FDA. It is also suitable for a graduate level special topics course.
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