Corrado Crocetta - Böcker

This book is devoted to Corrado Gini, father of the Italian statistical school. It celebrates the 50th anniversary of his death by bearing witness to the continuing extraordinary scientific relevance of his interdisciplinary interests. The book comprises a selection of the papers presented at the conference of the Italian Statistical Society, Statistics and Demography – the Legacy of Corrado Gini, held in Treviso in September 2015. The work covers many topics linked to Gini’s scientific legacy, ranging from the theory of statistical inference to multivariate statistical analysis, demography and sociology. In this volume, readers will find many interesting contributions on entropy measures, permutation procedures for the heterogeneity test, robust estimation of skew-normal parameters, S-weighted estimator, measures of multidimensional performance using Gini’s delta, small-sample confidence intervals for Gini’s gamma index, Bayesian estimation of the Gini-Simpson index, spatial residential patterns of selected foreign groups, minority segregation processes, dynamic time warping to study cruise tourism, and financial stress spill over. This book will appeal to all statisticians, demographers, economists, and sociologists interested in the field.

This book contains a selection of the contributions presented at the conference of the Italian Statistical Society - SIS 2023 held in Ancona, 21-23 June 2023 with specific focus on “Statistical Learning, Sustainability and Impact Evaluation”.Papers concern new challenges of digitalization, innovation and sustainability that are showing the crucial role of data-driven approaches in supporting decision-making processes. Methodologies resulting from the integration of different know-how provide reliable way to deal with the increasing need to measure the impact of the policies and to forecast scenarios. A non-exhaustive list of the topics include papers on: Data Analysis and Classification, Education and students’ assessment, Environmental and Sustainability assessment, Population and health dynamics, Machine and Statistical Learning, Spatial and Spatio-Temporal Modeling, Social and Statistical indicators.This volume is addressed to researchers as well as  to Ph.D. and MSc students interested in new trends and recent developments in the areas of Statistical Learning, Sustainability and Impact Evaluation.