1,721,046 research outputs found
Economic Crisis and Earnings Management: a Statistical Analysis
No full textThe financial and real crisis has led to a decline in the confidence towards the financial statements as a tool for representing the actual health status of the companies and it has drawn investors' attention to the financial statement values reliability. This work aims at investigating whether, in the Italian market, the precarious macroeconomic conditions and the consequent difficulties suffered by listed companies have constituted, or not, an incentive to implement earnings management policies manipulations. The large period of time (from 2002 to 2016) a llows a mapping of the phenomenon that extends from the period before and after the crisis
Blockchain as a universal tool for business improvement
No full textAbstract: The aim of this work is to present the characteristics of the blockchain
technology and its potential in corporate case study applications. The paper presents
in detail an example of the implementation of permissioned blockchain and other
examples of blockchain (also of semantic type) applied to the temporal certification
of business processes of some brilliant southern Italy realities
Web-Based Data Collection and Quality Issues in Co-Authorship Network Analysis
No full textIn this contribution we discuss data quality issues related to the application of web scraping techniques to the Cineca IRIS platform to derive co-authorship data among Italian university scholars. First, a semi-automatic tool is adopted to retrieve metadata from the platform, then a disambinguation network-based approach is considered to deal with author name disambiguation. This combined procedure is used to derive the co-authorship relations among Italian academic statisticians on the basis of the publications they inserted in the IRIS system until 2017
sj-docx-1-jet-10.1177_15266028231162258 – Supplemental material for Renal Benefits of CO2 as a Contrast Media for EVAR Procedures: New Perspectives on 1 Year Outcomes
No full textSupplemental material, sj-docx-1-jet-10.1177_15266028231162258 for Renal Benefits of CO2 as a Contrast Media for EVAR Procedures: New Perspectives on 1 Year Outcomes by Marco Busutti, Alice Sensoni, Andrea Vacirca, Chiara Abenavoli, Chiara Donadei, Anna Laura Croci Chiocchini, Matteo Righini, Giorgia Comai, Alessia Pini, Gianluca Faggioli, Enrico Gallitto, Gaetano La Manna and Mauro Gargiulo in Journal of Endovascular Therapy</p
A models selection criterion for evaluation of heat wave hazard: a case study of the city of Prato
No full texthe main goal of this work is to provide a support for heat waves risk for the city of Prato through the hazard evaluation considering humidex index. The climate analysis has been carried out using a multi-model ensemble of EURO- CORDEX data at high resolution (about 12 km). The approach we propose consists in defining a multicriteria analysis for searching the most appropriate models subset. It is based on the assumption of giving a greater weight to the models with better performance in representing the trends of the variables of interest. After applying the selection criterion, a bias correction method has been used to reduce selected models bias. The analyses have been conducted using the tools available in CLIME service, a horizontal climate service currently developed at CMCC for providing climate data useful for a wide range of users and stakeholders
Robustness and fuzzy multidimensional poverty indicators: a simulation study
No full textThis paper proposes a simulation study in order to evaluate the robustness of fuzzy sets indicators applied to the poverty measurement. We address the issues related to the subjectivity which affects the choice of membership to the poor set. The subjective choices of the individual researchers could lead to unstable results and then to a lack of robustness of the method. We investigate the effects of the subjectivity by means of a Monte Carlo study and we provide evidence of an extremely satisfactory robustness level for fuzzy multidimensional poverty indicators
Spatial Logistic Regression for Events Lying on a Network: Car Crashes in Milan
No full textIn this paper we propose a methodology to estimate the probability that a car accident occurs in urban roads. Our approach is based on logistic regression and takes into account the particular nature of the data which conforms to a spatial point pattern on a network. Using the open data on street networks provided within the OpenStreetMap project, we estimate the probability of car accidents for every street in the municipality of Milan
Dealing with uncertainty in automated test assembly problems
No full textIl recente sviluppo delle tecnologie informatiche ha consentito agli istituti di valutazione di migliorare il processo di assemblaggio dei test tramite l’automated test assembly (ATA). Una struttura generale per ATA consiste nell’adottare modelli di programmazione intera-mista. Questi modelli sono pensati per essere risolti dasolver commerciali che, nonostante il loro successo nella gestione della maggiorparte dei problemi noti, non sono sempre in grado di risolvere problemi di ATA molto vincolati o di grandi dimensioni. Inoltre, tutti i parametri sono considerati fissi e noti, un’ipotesi che non vale per le stime dei parametri di item response theory (IRT). In questo lavoro proponiamo un modello chance-constrained per affrontarel’incertezza nei modelli di ATA senza aumentarne la complessitàThe recent development of computer technologies enabled test institutes to improve the test assembly process by automated test assembly (ATA). A general framework for ATA consists in adopting mixed-integer programming models. These models are intended to be solved by common commercial solvers which, notwithstanding their success in handling most of the known problems, are not always able to find solutions for highly constrained and large-sized ATA problems. Moreover, all parameters are assumed to be fixed and known, a hypothesis that is not true for estimates of item response theory (IRT) parameters. In this work, we propose a chance-constrained model for dealing with uncertainty in ATA without increasing the complexity of the model
Statistical Matching of HBS and ADL to analyse living conditions, poverty and happiness
No full textConsumption, poverty and happiness represent fundamental aspects in the analysis of household living conditions. To empirically investigate the relationships among them, individual data are required. The not availability of joint information on consumption and happiness at the unit level, as in Italy, may be overcoming by using the statistical matching method. In particular, the matching of the Household Budget Survey (HBS) with the Aspects of Daily Life (ADL) provides information at the individual level, useful to investigate how poverty as well as the living condition affects the happiness of Italian citizens
Bayesian Variable Selection for High Dimensional Logistic Regression
No full textThis paper introduces a novel Bayesian approach to the problem of variable selection in high–dimensional logistic regression. In particular, we present a Marginalized Reversible Jump MCMC (MRJ) algorithm and its extensions, that exploits the data–augmentation structure using the Pólya–Gamma distribution. The proposed methods have been tested on simulated datasets, showing good perfomances in selecting the relevant regressors
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