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Functional estimation of spatiotemporal heterogeneities

Ruiz‐Medina, María D. / Angulo, José M.

10.1002/env.875.abs

Heterogeneity analysis is one of the most complex concerns in spatiotemporal statistics, due to the different sources of variability present in real phenomena. In this paper, a functional approximation to the multiscale structure of a certain class of non‐homogeneous (non‐stationary) spatiotemporal processes, based on a multiple‐window atomic decomposition, is studied. The multiscaling exponent, defining the local regularity and correlation of the processes, is estimated from such a decomposition. Copyright © 2007 John Wiley & Sons, Ltd.

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Functional estimation of spatiotemporal heterogeneities

Ruiz‐Medina, María D. / Angulo, José M.

10.1002/env.875.abs

Heterogeneity analysis is one of the most complex concerns in spatiotemporal statistics, due to the different sources of variability present in real phenomena. In this paper, a functional approximation to the multiscale structure of a certain class of non‐homogeneous (non‐stationary) spatiotemporal processes, based on a multiple‐window atomic decomposition, is studied. The multiscaling exponent, defining the local regularity and correlation of the processes, is estimated from such a decomposition. Copyright © 2007 John Wiley & Sons, Ltd.

Functional estimation of spatiotemporal heterogeneities

Ruiz‐Medina, María D. / Angulo, José M.

10.1002/env.875.abs

Heterogeneity analysis is one of the most complex concerns in spatiotemporal statistics, due to the different sources of variability present in real phenomena. In this paper, a functional approximation to the multiscale structure of a certain class of non‐homogeneous (non‐stationary) spatiotemporal processes, based on a multiple‐window atomic decomposition, is studied. The multiscaling exponent, defining the local regularity and correlation of the processes, is estimated from such a decomposition. Copyright © 2007 John Wiley & Sons, Ltd.

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Title:

Functional estimation of spatiotemporal heterogeneities

Contributors:

Ruiz‐Medina, María D. (author) / Angulo, José M. (author)

Published in:

Environmetrics ; 18 ; 775-792

Publication date:

2007-11-01

Size:

18 pages

ISSN:

1099-095X , 1180-4009

DOI:

https://doi.org/10.1002/env.875

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

multiscale processes , local means , multifractional covariance structures , variable fractal local dimension

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