000 06822nam a22005655i 4500
001 978-3-031-65699-6
003 DE-He213
005 20251030113259.0
007 cr nn 008mamaa
008 241016s2024 sz | s |||| 0|eng d
020 _a9783031656996
_9978-3-031-65699-6
024 7 _a10.1007/978-3-031-65699-6
_2doi
050 4 _aQA76.9.Q36
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
245 1 0 _aAdvanced Methods in Statistics, Data Science and Related Applications
_h[electronic resource] :
_bSIS 2022, Caserta, Italy, June 22–24 /
_cedited by Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 328 p. 70 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1017 ;
_v467
505 0 _aC. 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.
520 _aThis book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.
650 0 _aQuantitative research.
650 0 _aMachine learning.
_955059
650 1 4 _aData Analysis and Big Data.
650 2 4 _aMachine Learning.
_955059
700 1 _aBini, Matilde.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_987034
700 1 _aBalzanella, Antonio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_987035
700 1 _aMasserini, Lucio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_987036
700 1 _aVerde, Rosanna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_987037
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031656989
776 0 8 _iPrinted edition:
_z9783031657009
776 0 8 _iPrinted edition:
_z9783031657016
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1017 ;
_v467
_972341
856 4 0 _uhttps://doi.org/10.1007/978-3-031-65699-6
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c64723
_d64723