Overview
- Includes contributions on topics widely discussed in the recent statistical literature
- Presents several examples and cases
- Offers support to practitioners interested in using statistical tools
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 227)
Included in the following conference series:
Conference proceedings info: SIS 2016.
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Table of contents (30 papers)
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Front Matter
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Advances in Survey Methods and New Sources in Public Statistics
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Front Matter
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Recent Debates in Statistics and Statistical Algorithms
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Front Matter
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Statistical Models and Methods for Network Data, Ordinal and Symbolic Data
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Front Matter
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Forecasting Time Series
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Front Matter
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Other volumes
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Studies in Theoretical and Applied Statistics
Keywords
About this book
This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.
Editors and Affiliations
About the editors
Monica Pratesi is Professor of Statistics, University of Pisa, and holds the Jean Monnet Chair "Small Area Methods for Monitoring of Poverty and Living Conditions in the EU" 2015-2017. She is the Director of the Tuscan Interuniversity Centre - Advanced Statistics for Equitable and Sustainable Development, entitled to Camilo Dagum. Her research interests include methods for survey sampling and analysis of survey data, small area estimation and design-based population inference. She has published a number of papers in national and international journals on these topics and has been a member of the scientific committees of several national and international conferences.
Anne Ruiz-Gazen is Professor of Applied Mathematics, specializing in statistics, and a member of the Toulouse School of Economics - Research at University Toulouse 1 Capitole. Her areas of research include multivariate data analysis, survey sampling theory and, to a less extent, spatial econometrics and statistics. She has published more than fifty articles in refereed journals and books and has been a member of the scientific committees of several conferences.
Bibliographic Information
Book Title: Studies in Theoretical and Applied Statistics
Book Subtitle: SIS 2016, Salerno, Italy, June 8-10
Editors: Cira Perna, Monica Pratesi, Anne Ruiz-Gazen
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-73906-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-73905-2Published: 04 April 2018
Softcover ISBN: 978-3-030-08883-5Published: 24 January 2019
eBook ISBN: 978-3-319-73906-9Published: 03 April 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XI, 347
Number of Illustrations: 25 b/w illustrations, 47 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics and Computing/Statistics Programs, Statistics for Social Sciences, Humanities, Law