Small area estimation using geographically weighted robust regression. An application to the mapping of average equivalized income
Small area estimation using geographically weighted robust regression. An application to the mapping of average equivalized income
978-3-642-37896-6
Fabrizi, Enrico
b8cbe145-06b2-4756-b169-393a4905521d
Giusti, Caterina
462499ce-e114-4a3c-bbfc-a636e755b929
Salvati, Nicola
9be298e5-de55-4a24-9361-054a2ec09726
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a
2014
Fabrizi, Enrico
b8cbe145-06b2-4756-b169-393a4905521d
Giusti, Caterina
462499ce-e114-4a3c-bbfc-a636e755b929
Salvati, Nicola
9be298e5-de55-4a24-9361-054a2ec09726
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a
Fabrizi, Enrico, Giusti, Caterina, Salvati, Nicola and Tzavidis, Nikos
(2014)
Small area estimation using geographically weighted robust regression. An application to the mapping of average equivalized income.
In,
Thill, Jean-Claude
(ed.)
Spatial Analysis and Location Modeling in Urban and Regional Systems.
(Advances in Geographic Information Science)
London, GB.
Springer.
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Book Section
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Published date: 2014
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Statistics
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Local EPrints ID: 366053
URI: http://eprints.soton.ac.uk/id/eprint/366053
ISBN: 978-3-642-37896-6
PURE UUID: 45d776c9-7077-46ab-9283-486b35161413
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Date deposited: 25 Jun 2014 14:12
Last modified: 12 Dec 2021 03:17
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Contributors
Author:
Enrico Fabrizi
Author:
Caterina Giusti
Author:
Nicola Salvati
Editor:
Jean-Claude Thill
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