Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Riccardo, Borgoni"'
Autor:
Manuela Berlingeri, Francantonio Devoto, Francesca Gasparini, Aurora Saibene, Silvia E. Corchs, Lucia Clemente, Laura Danelli, Marcello Gallucci, Riccardo Borgoni, Nunzio Alberto Borghese, Eraldo Paulesu
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
In this paper we describe and validate a new coordinate-based method for meta-analysis of neuroimaging data based on an optimized hierarchical clustering algorithm: CluB (Clustering the Brain). The CluB toolbox permits both to extract a set of spatia
Externí odkaz:
https://doaj.org/article/f297f7778b964baf8494625e8dd1c1ed
Autor:
Francesco Schirripa Spagnolo, Riccardo Borgoni, Antonella Carcagnì, Alessandra Michelangeli, Nicola Salvati
Publikováno v:
AStA Advances in Statistical Analysis.
This paper proposes an M-quantile regression approach to address the heterogeneity of the housing market in a modern European city. We show how M-quantile modelling is a rich and flexible tool for empirical market price data analysis, allowing us to
Autor:
Riccardo Borgoni, Piero Quatto
Publikováno v:
Statistica, Vol 69, Iss 1, Pp 3-14 (2013)
Estimating population abundance is of primary interest in wildlife population studies. Point transect sampling is a well established methodology for this purpose. The usual approach for estimating the density or the size of the population of interest
Externí odkaz:
https://doaj.org/article/965e7f139efb444f8434051e960d7553
Autor:
Diego Zappa, Riccardo Borgoni
Publikováno v:
Quality and Reliability Engineering International. 36:2309-2321
Process capability indices are widely used to check quality standards both at the production level and for business activity. They consider the location and the deviation from specification limits and targets. The literature contains many contributio
Publikováno v:
Geographical Analysis. 53:447-466
Residential satisfaction depends on housing and neighborhood conditions in addition to housing cost affordability. To determine the relative importance of these factors, their average effect is usually estimated using sample data, eventually split in
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
Road traffic casualties represent a hidden global epidemic, demanding evidence-based interventions. This paper demonstrates a network lattice approach for identifying road segments of particular concern, based on a case study of a major city (Leeds,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a16a3dbb9bc86f01f1398d2a1a45946
Process capability indices are routinely used to estimate the mean-variability performance of industrial products with respect to both targets and specification limits. However, when the target variable is defined over a planar surface of a manufact,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a3997619967ad9bfdb7518eddbae460
http://hdl.handle.net/10281/354373
http://hdl.handle.net/10281/354373
Autor:
Christian Garavaglia, Riccardo Borgoni
We study the emergence of a new population of firms and show that legitimation is a local phenomenon and stimulates entry. However, legitimation is offset by competition as the number of firms increases. We provide evidence that the legitimation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60832ef7c4eca1e96fb46373e5d8430a
http://hdl.handle.net/10281/292663
http://hdl.handle.net/10281/292663
Road casualties represent an alarming concern for modern societies. During the last years, several authors proposed sophisticated approaches to help authorities implement new policies. These models were usually developed considering a set of socio-ec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bec7b49220ba6180e76a7c2aceaedc8
A two-step smoothing procedure for the analysis of sparse contingency tables with ordered categories
Autor:
Riccardo Borgoni
Publikováno v:
Statistica, Vol 64, Iss 4, Pp 751-766 (2007)
Assessing the multivariate structure of data is often the aim of the statistical analysis of economical, demographic and social phenomena. In many situations in the analysis of categorical data it may happen that the number of cells can be close to,
Externí odkaz:
https://doaj.org/article/c1cf4614c42f46fc8a68c1d611a1047d