A platform for research: civil engineering, architecture and urbanism
Spatiotemporal generation of long‐range dependence models and estimation
A parametric family of spatiotemporal models displaying separable isotropic long‐range dependence, in space and time, is introduced in a fractional generalized framework. The weak‐sense implementation of estimation methods based on the integrated periodogram, the variogram and the wavelet transform, to estimate the long‐memory parameter vector is discussed. The construction of separable and non‐separable anisotropic long‐range dependence spatiotemporal processes is also described considering fractional integration filters. Copyright © 2005 John Wiley & Sons, Ltd.
Spatiotemporal generation of long‐range dependence models and estimation
A parametric family of spatiotemporal models displaying separable isotropic long‐range dependence, in space and time, is introduced in a fractional generalized framework. The weak‐sense implementation of estimation methods based on the integrated periodogram, the variogram and the wavelet transform, to estimate the long‐memory parameter vector is discussed. The construction of separable and non‐separable anisotropic long‐range dependence spatiotemporal processes is also described considering fractional integration filters. Copyright © 2005 John Wiley & Sons, Ltd.
Spatiotemporal generation of long‐range dependence models and estimation
Frías, M. P. (author) / Ruiz‐Medina, M. D. (author) / Alonso, F. J. (author) / Angulo, J. M. (author)
Environmetrics ; 17 ; 139-146
2006-03-01
8 pages
Article (Journal)
Electronic Resource
English
Spatiotemporal generation of long-range dependence models and estimation
Online Contents | 2006
|Spatiotemporal models in the estimation of area precipitation
Online Contents | 2005
|Spatiotemporal Variation and Long-Range Correlation of Groundwater Levels in Odessa, Ukraine
DOAJ | 2023
|Robust Spatiotemporal Estimation of PM Concentrations Using Boosting-Based Ensemble Models
DOAJ | 2021
|