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Advanced Methods in Statistics, Data Science and Related Applications : SIS 2022, Caserta, Italy, June 22–24 / / edited by Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde
| Advanced Methods in Statistics, Data Science and Related Applications : SIS 2022, Caserta, Italy, June 22–24 / / edited by Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde |
| Autore | Bini Matilde |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (321 pages) |
| Disciplina |
001.422
005.7 |
| Altri autori (Persone) |
BalzanellaAntonio
MasseriniLucio VerdeRosanna |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Quantitative research
Machine learning Data Analysis and Big Data Machine Learning |
| ISBN | 3-031-65699-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | C. Marini, and V. Nicolardi, Administrative database and official statistics: an IT and Statistical procedure -- F. Mariani, M. Ciommi, M. C. Recchioni, Giuseppe Ricciardo Lamonica and Francesco Maria Chelli, Working with Non-Compensatory Composite Indicators: A Case Study Based on SDG for Mediterranean Countries -- D. Bondonio and P. Chirico, Intertemporal statistical matching for causal inference in the context of multivariate time-series data -- C. Rosanna, G. M. Gabriella and Z. Emma, Scaling UX-AI products: CFA & PLS-SEM comparison -- L. Pagani, M. C. Zanarotti and A. Habus, The construction of a Heat Vulnerability Index by means of the Composite Indicator approach: a case study for Friuli Venezia Giulia Region, Italy -- C. Pangallo, Oliviero Casacchia e Corrado Polli, The manual, communicative and quantitative abilities of native and foreign workers according to their level of education in Italy -- E. Dzuverovic and E. Otranto, Nonlinear HAR Models and Nonlinear Least Squares: Asymptotic Properties -- P. Quatto and E. Ripamonti, Measuring strength of randomized clinical trials -- A. Bianchino, Armando d’Aniello, Daniela Fusco, Improving administrative data quality on tourism using Big Data -- R. Fontana and F. Rapallo, Robust designs against data loss: A general approach -- S. D. Tomarchio, A. Punzo and A. Maruotti, Matrix-variate hidden Markov models: an application to employment data -- F. Bitonti, Integrating structuralism and diffusionism to explain the new Italian emigration -- F. Bitonti1, A. Mazza, Spatial explorative analysis of thyroid cancer in Sicilian volcanic areas -- I. Sciascia, Adjusted calibration estimators for sparse spatial data -- N. Trendafilov and M. Gallo and V. Simonacci and V. Todorov, Discrimination via principal components -- G. Greca, G. Cinquegrana and G. Fosco, A regional analysis of the efficiency by energy producers in Italy -- M. Scioni and P. Annoni, An Alternative Aggregation Function for the UNDP Human Development Index -- F. Attili and M. Costa, Decomposing inequality after asymmetric shocks: an analysis of Italian household consumption -- D. Fusco, M. Antonietta Liguori, V. Moretti, F. G. Truglia, Spatial statistics analysis using microdata: an application agricultural sector -- I. Primerano, G. Giordano, M. Prosperina Vitale, Exploring factors affecting the evaluation of online learning services. Evidence from a social science bachelor’s degree -- M. Zannella, A. De Rose, E. Aloè, M. Corsi, Paid and Unpaid Work in Pandemic Times. A Study on the Division of Household Labour and the Subjective Well-being of Working Mothers in Italy -- G. Bove, Measures of interrater agreement for quantitative scales based on the standard deviation -- D. Giuliani, M. Michela Dickson, F. Santi, G. Espa, An empirical tool to classify industries by regional concentration and spatial polarization -- B. Guindani, D. Ardagna and A. Guglielmi, Bayesian optimization for cloud resource management through machine learning. |
| Record Nr. | UNINA-9910897974903321 |
Bini Matilde
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30 / / edited by Alessandra Petrucci, Filomena Racioppi, Rosanna Verde
| New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30 / / edited by Alessandra Petrucci, Filomena Racioppi, Rosanna Verde |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (474 pages) |
| Disciplina | 519.5 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Computer mathematics Business enterprises—Finance Statistics and Computing/Statistics Programs Computational Mathematics and Numerical Analysis Business Finance Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-030-21158-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I – Complex data analytics: A. Balzanella et al., Monitoring the spatial correlation among functional data streams through Moran's Index -- O. Banouar and S. Raghay, User query enrichment for personalized access to data through ontologies using matrix completion method -- C. Drago, Clustering Communities using Interval K-Means -- F. Murtagh, Text Mining and Big Textual Data: Relevant Statistical Models -- G. Ragozini et al., A three-way data analysis approach for analyzing multiplex networks -- M. Ruggieri et al., Comparing FPCA based on conditional quantile functions and FPCA based on conditional mean function -- F. Santelli et al., Statistical archetypal analysis for cognitive categorization -- A. Vanacore and M. S. Pellegrino, Inferring rater agreement with ordinal classification -- PART II – Knowledge based methods: J. Koskinen et al., Bayesian analysis of ERG models for multilevel, multiplex, and multilayered networks with sampled or missing data -- C. Scricciolo, Bayesian Kantorovich Deconvolution in Finite Mixture Models -- A. Sottosanti et al., Discovering and Locating High-Energy Extra-Galactic\Sources by Bayesian Mixture Modelling -- F. Stefanini and G. Callegaro, Bayesian estimation of causal effects in carcinogenicity tests based upon CTA -- M. Subbiah et al., Performance Comparison of Heterogeneity Measures for count data models in Bayesian Perspective -- PART III – Sampling techniques for Big Data exploration: M. S. Andreano et al., Sampling and modelling issues using Big Data in now–casting -- M. D’Alò et al., Sample design for the integration of population census and social surveys -- C. De Vitiis et al., Sampling schemes using scanner data for the consumer price index -- S. Polettini and S. Arima, An investigation of Hierarchical and Empirical Bayesian small area predictors under measurement error -- E. Rocco, Indicators for monitoring the survey data quality when non-response or a convenience sample occurs -- PART IV – Data Science methods for social and population studies: P. Balduzzi et al., The propensity to leave the country of origin of young Europeans -- F. Bassi et al., New Insights on Student Evaluation of Teaching in Italy -- A. Bikauskaite and D. Buono, Eurostat methodological network: Skills mapping for a collaborative statistical office -- M. Costa, The evaluation of the inequality between population subgroups -- M. Manisera et al., Basketball analytics using spatial tracking data -- I. Morlini and M. Scorza, New fuzzy composite indicators for dyslexia -- A. Righi et al., Who tweets in Italian? Demographic characteristics of Twitter users -- PART V – Applying Data Science in economics and labour market: A. Agapitov et al., An approach to developing a scoring system for peer-to-peer (p2p) lending platform -- P. Mariani et al., What do employers look for when hiring new graduates? Answers from the Electus survey -- A. Mazza and A. Punzo, Modeling Household Income with Contaminated Unimodal Distributions -- G. Punzo et al., Endowments and rewards in the labour market: their role in changing wage inequality in Europe -- V. Voytsekhovska and O. Butzbach, The approach towards the analysis of wage distribution equality dynamics in Poland based on linear dependences -- PART VI – Mathematical statistics for Data Science: R. Fontana and F. Rapallo, Unions of Orthogonal Arrays and their aberrations via Hilbert bases -- F. Lagona, A copula-based hidden Markov model for toroidal time Series -- A. Lanteri et al., A biased Kaczmarz algorithm for clustered equations -- A. Lepore, Nearly Unbiased Probability Plots for Extreme Value Distributions -- V. Mameli et al., Estimating High-Dimensional Regression Models with Bootstrap group Penalties. |
| Record Nr. | UNINA-9910349342803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SIS 2017 : Statistics and Data Science: new challenges, new generations Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017 / / Alessandra Petrucci, Rosanna Verde
| SIS 2017 : Statistics and Data Science: new challenges, new generations Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017 / / Alessandra Petrucci, Rosanna Verde |
| Autore | Petrucci Alessandra |
| Pubbl/distr/stampa | Florence : , : Firenze University Press, , 2017 |
| Descrizione fisica | 1 online resource (1066 pages) |
| Disciplina | 301 |
| Collana | Proceedings e report |
| Soggetto topico | Sociology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SIS 2017. Statistics and Data Science |
| Record Nr. | UNINA-9910571706003321 |
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Petrucci Alessandra
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| Florence : , : Firenze University Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SIS 2017. Statistics and Data Science : new challenges, new generations : Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017 / / edited by Rosanna Verde and Alessandra Petrucci
| SIS 2017. Statistics and Data Science : new challenges, new generations : Proceedings of the Conference of the Italian Statistical Society, Florence 28-30 June 2017 / / edited by Rosanna Verde and Alessandra Petrucci |
| Pubbl/distr/stampa | Firenze, Italy : , : Firenze University Press, , 2017 |
| Descrizione fisica | 1 online resource (1066 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Conference proceedings
Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | SIS 2017. Statistics and Data Science |
| Record Nr. | UNINA-9910774844803321 |
| Firenze, Italy : , : Firenze University Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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