Zobrazeno 1 - 10
of 16
pro vyhledávání: '"AGRO', Gianna"'
Publikováno v:
Statistical Science 2015, Vol. 30, No. 1, 40-58
This article provides a completion to theories of information based on entropy, resolving a longstanding question in its axiomatization as proposed by Shannon and pursued by Jaynes. We show that Shannon's entropy function has a complementary dual fun
Externí odkaz:
http://arxiv.org/abs/1109.6440
Publikováno v:
Statistical Science, 2015 Feb 01. 30(1), 40-58.
Externí odkaz:
http://www.jstor.org/stable/24780404
Akademický článek
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Autor:
BATTAGLIA, Giuseppe, ALESI, Marianna, AGRO', Gianna, Giulio Polidoro, PEPI, Annamaria, PALMA, Antonio
Lo scopo del presente studio è stato quello di studiare gli effetti della “terapia multisistemica in acqua” (TMA) sulle abilità grossomotorie e cognitive in bambini con disturbo dello spettro autistico. Le attività hanno coinvolto sei soggetti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::68065e23b39ccdd920a0cbbe2327880c
http://hdl.handle.net/10447/174732
http://hdl.handle.net/10447/174732
Multivariate spatio-temporal data consist of a three way array with two dimensions’ domains both structured, temporally and spatially; think for example to a set of different pollutant levels recorded for a month/year at different sites. In this ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::3fa427b3b0e93f098aee63d0a9dd9282
http://hdl.handle.net/10447/97274
http://hdl.handle.net/10447/97274
In this paper the EOF methodology is performed jointly with the FDA approach on a spatiotemporal multivariate data set with the aim to fill in missing values as accurately as possible when long gap sequences occur. Simulated data sets, containing ”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::3a3bf5a6caadce46a626b16efe9a706a
http://hdl.handle.net/10447/63619
http://hdl.handle.net/10447/63619
AQIs are computed on air pollution data that are usually collected according to time, space and type of pollutant: in a given town/region, data consisting of hourly levels of K pollutants recorded in S monitoring sites, are usually organized in a thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::7d4b96f0c1e9ee909d9f364d4da97d29
http://hdl.handle.net/10447/52917
http://hdl.handle.net/10447/52917
Missing values are a common concern in spatiotemporal data sets. During recent years a great number of methods have been developed for gap filling. One of the emerging approaches is based on the Empirical Orthogonal Function (EOF) methodology, applie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::3f2de833fae98d062daec9e8a1252352
http://hdl.handle.net/10447/52895
http://hdl.handle.net/10447/52895
The knowledge of the global urban air quality situation represents the first step to face air pollution issues. For the last decades many urban areas can rely on a monitoring network, recording hourly data for the main pollutants. Such data need to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::975101882ca2b166b6b88b14c06987a4
http://hdl.handle.net/10447/47735
http://hdl.handle.net/10447/47735