Multivariate density estimation : theory, practice, and visualization
David W. Scott.
New York : Wiley, ©1992.
xii, 317 págs., [8] págs. de láms. : ilustraciones (algunas col.) ; 25 cm.
Serie: Wiley series in probability and mathematical statistics
ISBN: 0471547700
Incluye referencias bibliográficas (p. 285-299) e índices.
Reseña: MathSciNet, 94c:62072
Contenido
- 1. Representation and geometry of multivariate data
- 2. Nonparametric estimation criteria
- 3. Histograms: theory and practice
- 4. Frequency polygons
- 5. Averaged shifted histograms
- 6. Kernel density estimators
- 7. The curse of dimensionality and dimension reduction
- 8. Nonparametric regression and additive models
- 9. Other applications.