Smoothing Spline ANOVA Models
Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data anal...
| Main Author: | Gu, Chong (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Edition: | 2nd ed. 2013. |
| Series: | Springer Series in Statistics,
297 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Fast Compact Algorithms and Software for Spline Smoothing
by: Weinert, Howard L.
Published: (2013) -
Permutation Tests for Stochastic Ordering and ANOVA Theory and Applications with R /
by: Solari, Aldo, et al.
Published: (2009) -
Graphical Models with R
by: Højsgaard, Søren, et al.
Published: (2012) -
Linear Models Least Squares and Alternatives /
by: Radhakrishna Rao, C., et al.
Published: (1999) -
Asymmetric Kernel Smoothing Theory and Applications in Economics and Finance /
by: Hirukawa, Masayuki, et al.
Published: (2018)