Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mauro, Coli"'
Autor:
Rossella Liani, Sara La Torre, Valentina Liani, Angela Melchiorre, Danilo D’Ettorre, Romina Tripaldi, Stefano Lattanzio, Rossano Di Luzio, Mauro Coli, Carlo Velussi
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
Microangiopathy compromises the structural and functional integrity of organs and tissues in patients with type II diabetes mellitus (T2DM) negatively affecting the perceived quality of life. Nitric oxide (NO) is a multifunctional signalling molecule
Externí odkaz:
https://doaj.org/article/ebc540c746224c04ad238208f143727a
Publikováno v:
Journal of Applied Sciences. 11:737-742
En During the last years enormous attention has been given to the assessment and improvement of the performance of productive systems. In this context, there are two types of modelling methods of efficiency measurement: a non parametric one, represen
Publikováno v:
Environmental Modelling & Software. 26:38-43
With growing environmental legislation and mounting popular concern for the environment and the quality of life, there has been an increasing recognition in developed nations of the importance of good environmental performance, to assure the reductio
Publikováno v:
Statistical Methods & Applications. 14:11-27
Given a fractional integrated, autoregressive, moving average,ARFIMA (p, d, q) process, the simultaneous estimation of the short and long memory parameters can be achieved by maximum likelihood estimators. In this paper, following a two-step algorith
The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniq
Publikováno v:
Advanced Statistical Methods for the Analysis of Large Data-Sets
The theme of the meeting was Statistical Methods for the Analysis of Large Data-Sets. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fba0e82330fbf50a9d49c3ab10f2fc9
https://doi.org/10.1007/978-3-642-21037-2
https://doi.org/10.1007/978-3-642-21037-2
Autor:
Barbara, Cafarelli, Annamaria, Castrignanò, Daniela, Cocchi, Mauro, Coli, Corrado, Crocetta, Lorenzo, Fattorini, Alan, Gelfand, Andrea, Giommi, Giovanni, Girone, Tomislav, Hengl, Heuvelink, Gerard B. M., JONA LASINIO, Giovanna, Silvestro, Montrone, Antonio, Muscio, Marcello, Pagliai, Guido, Pasquariello, Alessandra, Petrucci, Alessio, Pollice, Donato, Posa, Filippo, Reganati, Sampson, Paul D., Emanuele, Tarantino, Isabella, Varraso, Hans, Wackernagel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3686::d459e0fd741f05cc6127995564d1dbc1
http://hdl.handle.net/11573/411932
http://hdl.handle.net/11573/411932
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783540656333
This paper proposes a method for the reconstruction of missing data in a three-way data array, based on six modified procedures of the optimum Kalman filter in relation to the structural data analysis. The case study regards environmental data on sea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6642afc24087e78eb28cfec1202e8025
https://doi.org/10.1007/978-3-642-60126-2_32
https://doi.org/10.1007/978-3-642-60126-2_32
Autor:
Elvira Romano, Rosanna Verde
Publikováno v:
Advanced Statistical Methods for the Analysis of Large Data-Sets ISBN: 9783642210365
In this paper, we among functional data. A first strategy aims to classify curves spatially dependent and to obtain a spatio-functional model prototype for each cluster. It is based on a Dynamic Clustering Algorithm with on an optimization problem th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22660ed1f996b941a85640e0cfc74cce
https://doi.org/10.1007/978-3-642-21037-2_3
https://doi.org/10.1007/978-3-642-21037-2_3