We adapt the Dagum survival function to become a function of space and time and study its theoretical properties as a covariance in the isotropic case. The resulting Dagum class is proved to have certain interesting mathematical properties and shows smooth behaviour at the origin, which has considerable applicability. A simple extension to the spatio-temporal case is provided and interesting points of comparison arise with other models appearing in literature

Porcu, E., Mateu, J., Zini, A., Pini, R. (2007). Modelling spatio-temporal data: A new variogram and covariance structure proposal. STATISTICS & PROBABILITY LETTERS, 77(1), 83-89 [10.1016/j.spl.2006.05.013].

Modelling spatio-temporal data: A new variogram and covariance structure proposal

ZINI, ALESSANDRO;PINI, RITA
2007

Abstract

We adapt the Dagum survival function to become a function of space and time and study its theoretical properties as a covariance in the isotropic case. The resulting Dagum class is proved to have certain interesting mathematical properties and shows smooth behaviour at the origin, which has considerable applicability. A simple extension to the spatio-temporal case is provided and interesting points of comparison arise with other models appearing in literature
Articolo in rivista - Articolo scientifico
criteria of Polya type; Dagum survival function; nonseparability; positive-definite radial functions
English
2007
77
1
83
89
none
Porcu, E., Mateu, J., Zini, A., Pini, R. (2007). Modelling spatio-temporal data: A new variogram and covariance structure proposal. STATISTICS & PROBABILITY LETTERS, 77(1), 83-89 [10.1016/j.spl.2006.05.013].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/283
Citazioni
  • Scopus 40
  • ???jsp.display-item.citation.isi??? 37
Social impact