Studies in Theoretical and Applied Statistics: SIS 2016, Salerno, Italy, June 8-10 (Springer Proceedings in Mathematics & Statistics, Band 227) - Softcover

Über die Autorin bzw. den Autor

Cira Perna is currently Professor of Statistics and Head of the Department of Economics and Statistics, University of Salerno (Italy). Her research work mainly focuses on non-linear time series, artificial neural network models, and resampling techniques. She has published a number of papers in national and international journals on these topics, and she has been a member of the scientific committees of several national and international conferences.

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.

Von der hinteren Coverseite

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.