Alessandra Petrucci

Bruno Bertaccini

Luigi Fabbris

This book includes 25 peer-reviewed short papers submitted to the Scientific Opening Conference titled “Statistics and Information Systems for Policy Evaluation”, aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Department of Statistics, Computer Science, Applications DiSIA “G. Parenti” of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS – Italian Statistical Society, Regione Toscana and Valmon – Evaluation & Monitoring.

Book of short papers of the opening conference

ASA 2021 Statistics and Information Systems for Policy Evaluation

Food and Agriculture Organization of the United Nations

Nicola Salvati

Chiara Seghieri

Poverty mapping in developing countries is used to identify ways to improve living standards and, until now, methods have been generally based on econometric models which do not take into account the spatial dependence that may exist in human societies, with regard to income distribution. This report uses spatial regression techniques to model more accurately the distribution of poverty across regions in Ecuador.

The Application of a Spatial Regression Model to the Analysis and Mapping of Poverty

Filomena Racioppi

Rosanna Verde

This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.

SIS 2017, Florence, Italy, June 28-30

New Statistical Developments in Data Science

Alessandra Petrucci

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