Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Linda Altieri"'
Publikováno v:
Entropy, Vol 25, Iss 12, p 1634 (2023)
Entropy indices are commonly used to evaluate the heterogeneity of spatially arranged data by exploiting various approaches capable of including spatial information. Unfortunately, in practical studies, difficulties can arise regarding both the avail
Externí odkaz:
https://doaj.org/article/6136c66e4f3a4073be5c106da54c2db6
Autor:
Silvia Manea, Laura Visonà Dalla Pozza, Cinzia Minichiello, Linda Altieri, Monica Mazzucato, Mauro Bonin, Paola De Ambrosis, Elio Borgonovi, Paola Facchin
Publikováno v:
Health Services Management Research. :095148482311518
Background: in the field of rare diseases (RDs) most of the European studies on budget impact analysis of drugs that have been conducted often lay on theoretical assumptions and focus only on Orphan drugs (ODs). Objectives: we aimed to estimate the b
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 33:1223-1240
A very recent proposal of a set of entropy measures for spatial data, based on building pairs of realizations, allows to split the data heterogeneity that is usually assessed via Shannon's entropy into two components: spatial mutual information, iden
Publikováno v:
Environmental Modelling & Software. 144:105149
Entropy measures are standard tools in environmental and ecological sciences to describe the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of which are very recent, suitable to deal with spatial data on variab
Autor:
Linda Altieri, Daniela Cocchi
This book shows how to successfully adapt entropy measures to the complexity of environmental data. It also provides a unified framework that covers all main entropy and spatial entropy measures in the literature, with suggestions for their potential
Autor:
Daniela Cocchi, Linda Altieri
The objective of spatial sampling is to collect subsets of individuals from a population in the two‐dimensional space, in order to estimate some population characteristics. Traditional sampling techniques are accordingly enriched to keep space into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96e0fcf2934d340e3e2b36b27a62b9d8
http://hdl.handle.net/11585/863155
http://hdl.handle.net/11585/863155
Disease mapping encompasses a set of methodologies employed to describe the disease risk distribution over a study region. When the disease under study is rare, counts are heavily affected by random variability, and the estimates of the relative risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::86b1c0c94a39e07503a7c8db961612ad
http://hdl.handle.net/11585/807935
http://hdl.handle.net/11585/807935
Publikováno v:
Journal of Statistical Computation and Simulation. 86:2531-2545
As regards authors Linda Altieri and Fedele Greco, the research work underlying this paper was partially funded by an FIRB 2012 [grant number RBFR12URQJ]; title: Statistical modelling of environmental phenomena: pollution, meteorology, health and the