Studies in Theoretical and Applied Statistics SIS 2021, Pisa, Italy, June 21–25
This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-125 June 2021. It covers a wide variety of subjects ranging from methodological and theoretical contributions to applied works and case studies, g...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Springer Proceedings in Mathematics & Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- A. Cutillo, M. Mazziotta, A. Pareto, A Composite Index of Economic Well-being for the European Union Countries
- Fulvio De Santis and S. Gubbiotti, Fulvio De Santis and S. Gubbiotti, A dynamic power prior for Bayesian non-inferiority trials
- Cinzia Di Nuzzo and S. Ingrassia, A graphical approach for the selection of the number of clusters in the spectral clustering algorithm
- M. Cefis and M. Carpita, A Higher-Order PLS-SEM approach to evaluate football players’ performance
- Simone Del Sarto and P. Coppola and M. Troìa, A latent Markov approach for clustering contracting authorities over time using public procurement red flags
- I. Primerano, F. Santelli and C. Usala, A multiplex network approach for analyzing university students’ mobility flows
- A. Briglia, M. Mucciardi and G. Pirrotta, A statistical model for predicting child language acquisition: unfolding qualitative grammatical development by using logistic regression model
- Fulvio Di Stefano and M. Gasparini, AdaptiveCOVID-19 screening of a subpopulation
- D. Barro, M. Corazza and M. Nardon, Alternative probability weighting functions in behavioral portfolio selection
- C. Scricciolo, Bayesian Quantile Estimation in Deconvolution
- M. Templ, Can the Compositional Nature of Compositional Data be Ignored by using Deep Learning Approaches?
- M. Pratesi, Citizen Data and Citizen Science: a challenge for Official Statistics
- M. Flora and R. Renò, Detecting states of distress in financial markets: the case of the Italian sovereign debt
- Forecasting combination of hierarchical time series: a novel method with an application to CoVid-19
- Raffaele Mattera and Germana Scepi, Frequency domain clustering: an application to time series with time-varying parameters
- Raffaele Grotti, Heterogeneous Income Dynamics
- Carlo Cavicchia, Pasquale Sarnacchiaro and Paolo Montuori, How much do Knowledge about and Attitude toward mobile phone use affect Behavior while driving? An empirical study using a Structural Equation Model
- Isabella Morlini, Impact of emergency online classes on students’ motivation and engagement in University during the Covid-19 pandemic: A study case
- Federico Benassi, Annalisa Busetta*, Gerardo Gallo, Manuela Stranges, Local heterogeneities in population growth and decline. A spatial analysis of Italian municipalities
- Elias Fekhari, Bertrand Iooss, Joseph Muré, Luc Pronzato, and Maria-João Rendas, Model predictivity assessment: incremental test-set selection and accuracy evaluation
- Antonio Naimoli, Giuseppe Storti, Multiple measures Realized GARCH models
- Venera Tomaselli, Giulio Giacomo Cantone, and Vincenzo Miracula, Multiversal Methods in Observational Studies: The Case of COVID-19
- Fiorenzo Ambrosino, Giuseppe Giannini, Antonio Lepore, Biagio Palumbo, Gianluca Sposito
- Neural network for the statistical process control of HVAC systems in passenger rail vehicles
- Salvatore D. Tomarchio, Antonio Punzo and Luca Bagnato, On the use of the matrix-variate tail-inflated normal distribution for parsimonious mixture modeling
- Tiziana Tuoto, Davide Di Cecco and Andrea Tancredi, Population size estimation by repeated identifications of units. A Bayesian semi-parametric mixture model approach
- Ivan Sciascia, Andrea Crosino, Gennaro Carotenuto, Andrea Genre, Spatial interdependence of mycorrhizal nuclear size in confocal microscopy
- Federica Piersimoni and Francesco Pantalone and Roberto Benedetti, Spatially balanced indirect sampling to estimate the coverage of the agricultural census
- Michele Costa, The assessment of environmental and income inequalities
- Righi A., Catanese E., Valentino L., Zardetto D., The Italian Social Mood on Economy Index during the Covid-19 Crisis
- Maria Maddalena Barbieri, Francesca Bassi, Antonio Irpino, Rosanna Verde, The rating of journals and the research outcomes in Statistical Sciences in Italian Universities
- Mauro Bruno, Francesca Inglese, Giuseppina Ruocco, Trusted Smart Surveys: architectural and methodological challenges related to new data sources
- Elena Grimaccia, Alessia Naccarato, Gerardo Gallo, Web surveys: profiles of respondents to the Italian Population Census