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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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Titel:

Functional estimation of spatiotemporal heterogeneities

Beteiligte:

Ruiz‐Medina, María D. (Autor:in) / Angulo, José M. (Autor:in)

Erschienen in:

Environmetrics ; 18 ; 775-792

Erscheinungsdatum:

01.11.2007

Format / Umfang:

18 pages

ISSN:

1099-095X , 1180-4009

DOI:

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

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

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

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