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The impact of the economic crisis on Italian cooperatives in the industrial sector
The economic crisis has brought about renewed interest in co-operatives, not only among academics but also among members of society in general. Co-operatives are viewed as an alternative to theExpand
On the Imputation of Missing Data in Surveys with Likert-Type Scales
TLDR
We propose an imputation procedure named Approximate Bayesian bootstrap with Propensity score and Nearest neighbour (ABPN), which, after the “propensity score step” of ABP, randomly selects a donor in the nonrespondent’s neighbourhood, which includes cases with response patterns similar to the one of the non respondent to be imputed. Expand
Discovering the Drivers of Football Match Outcomes with Data Mining
TLDR
In this paper the relationship between the outcome of a football match (win, lose or draw) and a set of variables describing the game actions is investigated across time, by analyzing data from 4 consecutive yearly championships. Expand
The Italian Social Cooperatives in 2008: A Portrait Using Descriptive and Principal Component Analysis
This paper describes the role of social cooperatives in Italy as a type of economic, nonprofit organization that is assuming an increasingly central role in the country, by contributing to itsExpand
Exploring the efficiency of Italian social cooperatives by descriptive and principal component analysis
Over the last decade, independent agencies, institutions and research centres (ISTAT—National Statistic Office, Ministry of Economic Development, Confcooperative Legacoop, Unioncamere) have providedExpand
Football Mining with R
TLDR
This chapter presents a data mining process for investigating the relationship between the outcome of a football match (win, lose, or draw) and a set of variables describing the actions of each team, using the R environment and selected R packages. Expand
Le variabili casuali
The GME estimator for the regression model with a composite indicator as explanatory variable
We use the generalized maximum entropy (GME) estimator to take into account the measurement error in the regression model with a composite indicator, Likert-type scales based, as explanatoryExpand
A generalized maximum entropy estimator to simple linear measurement error model with a composite indicator
TLDR
We extend the simple linear measurement error model through the inclusion of a composite indicator by using the generalized maximum entropy estimator. Expand
Twitter user geolocation using web country noun searches
TLDR
We present a purely word distribution method for country-level location detection of Twitter user country geolocation. Expand
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