Search results for "Statistic"

GLAM ORGANIZATIONS’ DIGITAL MATURITY INDICATOR: A STATISTICAL APPROACH FOR CAMPANIA MUSEUMS

2019

Digital Maturity is a complex phenomenon, involving vertical as well as horizontal processes throughout firms. Therefore, the use of multidimensional tools represents the most appropriate approach in measuring companies’ digital transformation status (Chanias and Hess, 2016). In recent years, Digital Maturity Models (DMMs)were developed in order to get a current measure of an organization’s as-is digital capability (Deloitte, 2018). However, DMMs’ effectiveness relies purely on raw data without taking into account items’ different difficulties. Moreover, though the vast majority of digital maturity models are mainly focused on manufacturing based organizations, an understanding of the chall…

Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R

2019

We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.

La scuola è uguale per tutti? Alcune riflessioni sull’istruzione in Italia a 55 anni dalla Scuola di Barbiana.

2021

Il lavoro percorre le tappe dell'istruzione italiana dal dopoguerra ad oggi puntando l'attenzione sulle diseguaglianze presenti nella scuola secondaria e all'università

Scomposizione della disuguaglianza socio-economica della salute: analisi dei dati EU-SILC 2010 sulle condizioni di vita delle famiglie

Elementi per una analisi dei divari regionali tra le regioni italiane

2008

Territori e contesti dello sviluppo economico: dati e tecniche statistiche in un approccio storico

2022

Questo volume raccoglie alcuni studi e ricerche storiche che evidenziano il ruolo del territorio e dei contesti spaziali per la promozione dello sviluppo economico e sociale. L'approccio è per l'appunto storico, cioè riferito a dati e contesti di analisi tra i decenni 1990 e 2000 al fine di meglio comprendere alcuni aspetti della realtà economica italiana del recente passato e quale ulteriore base di riflessione della mancata crescita e produttività del nostro Paese.

Nonlinear Time-Series Adaptation for Land Cover Classification

2017

Automatic land cover classification from satellite image time series is of paramount relevance to assess vegetation and crop status, with important implications in agriculture, biofuels, and food. However, due to the high cost and human resources needed to characterize and classify land cover through field campaigns, a recurrent limiting factor is the lack of available labeled data. On top of this, the biophysical–geophysical variables exhibit particular temporal structures that need to be exploited. Land cover classification based on image time series is very complex because of the data manifold distortions through time. We propose the use of the kernel manifold alignment (KEMA) method for…

Studying the double-frequency heating mode in ECRIS plasma using Kα diagnostics

2018

Despite the success of double-heating frequency in enhancing high charge state production, the underlying physics remains poorly understood. By combining three different diagnostic techniques i.e. Kα emission, optical emission and the extracted charge state distribution, it is now possible to assess the proposed explanations for the effectiveness of double-frequency heating against the experimental results. These results seem to indicate that the increase of plasma density accounts largely for the favorable behavior of this operation mode compared to single-frequency mode. peerReviewed

Refining distraction potential testing guidelines by considering differences in glancing behavior

2021

Driver distraction is a recognized cause of traffic accidents. Although the well-known guidelines for measuring distraction of secondary in-car tasks were published by the United States National Highway Traffic Safety Administration (NHTSA) in 2013, studies have raised concerns on the accuracy of the method defined in the guidelines, namely criticizing them for basing the diversity of the driver sample on driver age, and for inconsistent between-group results. In fact, it was recently discovered that the NHTSA driving simulator test is susceptible to rather fortuitous results when the participant sample is randomized. This suggests that the results of said test are highly dependent on the s…

SURCOTES MARINES DANS LE GOLFE DU LION ET FORCAGES ATMOSPHERIQUES : VARIABILITE CONTEMPORAINE ET FUTURE (1950-2100)

2010

Sea surges in the Gulf of Lions are mainly forced by southerly and south-easterly winds. This regional-scale atmospheric circulation is leading by a strong zonal gradient between low pressure system over the Bay of Biscay and high pressure over central Europe. This synoptic-scale circulation mostly happens during “Greenland Above” weather regime. In the second half of the 20th century, a slow increase of the sea-level pressure over central Europe increased the probability of having “Greenland Above” weather types associated with a southerly atmospheric circulation in the Gulf of Lions, thus leading to strong surges. A linear regression is used to simulate the interannual variability of high…