Multivariate density estimation : theory, practice, and visualization / David W. Scott.
Material type:
TextSeries: Wiley series in probability and statisticsPublication details: New Jersey : John Wiley, 2015.Edition: 2nd edDescription: xviii, 350 p. : illustrations ; 25 cmISBN: - 9780471697558 (hardcover)
- 000SA.09 23 Sc425
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.09 Sc425 (Browse shelf(Opens below)) | Available | 136762 |
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| 000SA.09 B665 Model based parameter estimation : | 000SA.09 H641 Methods of statistical model estimation / | 000SA.09 R215 Small area estimation / | 000SA.09 Sc425 Multivariate density estimation : | 000SA.09 Sm657 Uncertainty quantification : | 000SA.09 T473 Nonparametric function estimation, modeling, and simulation / | 000SA.09 T473 Nonparametric function estimation, modeling, and simulation / |
Includes bibliographical references and indexes.
1. Representation and geometry of multivariate data --
2. Nonparametric estimation criteria --
3. Histograms: theory and practice --
4. Frequency polygons --
5. Averages shifted histograms --
6. Kernel density estimators --
7. The curse of dimensionality and dimension reduction --
8. Nonparametric regression and additive models --
9. Other applications --
Appendices --
References --
Author index --
Subject index.
Written to convey an intuitive feeling for both theory and practice, this book illustrates what a powerful tool density estimation can be when used not only with univariate and bivariate data but also in the higher dimensions of trivariate and quadrivariate information.
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