Studies in Theoretical and Applied Statistics

1. Front Matter

   Pages i-xi

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2. Advances in Survey Methods and New Sources in Public Statistics

   1. Front Matter

      Pages 1-1

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   2. Robustness in Survey Sampling Using the Conditional Bias Approach with R Implementation

      • Cyril Favre-Martinoz, Anne Ruiz-Gazen, Jean Francois Beaumont, David Haziza

      Pages 3-13

   3. Methodological Perspectives for Surveying Rare and Clustered Population: Towards a Sequentially Adaptive Approach

      • Federico Andreis, Emanuela Furfaro, Fulvia Mecatti

      Pages 15-24

   4. Age Management in Italian Companies. Findings from Two INAPP Surveys

      • Maria Laura Aversa, Paolo Emilio Cardone, Luisa D’Agostino

      Pages 25-39

   5. Generating High Quality Administrative Data: New Technologies in a National Statistical Reuse Perspective

      • Manlio Calzaroni, Cristina Martelli, Antonio Samaritani

      Pages 41-48

   6. Exploring Solutions for Linking Big Data in Official Statistics

      • Tiziana Tuoto, Daniela Fusco, Loredana Di Consiglio

      Pages 49-58

3. Recent Debates in Statistics and Statistical Algorithms

   1. Front Matter

      Pages 59-59

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   2. An Algorithm for Finding Projections with Extreme Kurtosis

      • Cinzia Franceschini, Nicola Loperfido

      Pages 61-70

   3. Maxima Units Search (MUS) Algorithm: Methodology and Applications

      • Leonardo Egidi, Roberta Pappadà, Francesco Pauli, Nicola Torelli

      Pages 71-81

   4. DESPOTA: An Algorithm to Detect the Partition in the Extended Hierarchy of a Dendrogram

      • Davide Passaretti, Domenico Vistocco

      Pages 83-93

   5. The p-value Case, a Review of the Debate: Issues and Plausible Remedies

      • Francesco Pauli

      Pages 95-104

4. Statistical Models and Methods for Network Data, Ordinal and Symbolic Data

   1. Front Matter

      Pages 105-105

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   2. A Dynamic Discrete-Choice Model for Movement Flows

      • Johan Koskinen, Tim Müller, Thomas Grund

      Pages 107-117

   3. On the Analysis of Time-Varying Affiliation Networks: The Case of Stage Co-productions

      • Giancarlo Ragozini, Marco Serino, Daniela D’Ambrosio

      Pages 119-129

   4. Similarity and Dissimilarity Measures for Mixed Feature-Type Symbolic Data

      • Manabu Ichino, Kadri Umbleja

      Pages 131-144

   5. Dimensionality Reduction Methods for Contingency Tables with Ordinal Variables

      • Luigi D’Ambra, Pietro Amenta, Antonello D’Ambra

      Pages 145-156

5. Forecasting Time Series

   1. Front Matter

      Pages 157-157

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   2. Extended Realized GARCH Models

      • Richard Gerlach, Giuseppe Storti

      Pages 159-168

   3. Updating CPI Weights Through Compositional VAR Forecasts: An Application to the Italian Index

      • Lisa Crosato, Biancamaria Zavanella

      Pages 169-178

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.

• Statistical models
• Demography
• Data Analysis
• Public Statistics
• Computational Statistics

• Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno, Fisciano, Italy

  Cira Perna

• Dipartimento di Economia e Management, Università degli Studi di Pisa, Pisa, Italy

  Monica Pratesi

• Toulouse School of Economics, University of Toulouse, Toulouse Cedex 6, France

  Anne Ruiz-Gazen

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.

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