Studies in Theoretical and Applied Statistics

1 C. Favre-Martinoz et al., Robustness in survey sampling using the conditional bias approach with R implementation.- 2 F. Andreis et al., Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach.- 3 M. L. Aversa et al., Age management in Italian companies. Findings from two INAPP surveys.- 4 M. Calzaroni et al., Generating high quality administrative data: new technologies in a national statistical reuse perspective.- 5 T. Tuoto et al., Exploring solutions for linking Big Data in Official Statistics.- 6 C. Franceschini and N. Loperfido, An Algorithm for Finding Projections with Extreme Kurtosis.- 7 L. Egidi et al., Maxima Units Search (MUS) algorithm: methodology and applications.- 8 D. Passaretti and D. Vistocco, DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram.- 9 F. Pauli, The p-value case, a review of the debate: issues and plausible remedies.- 10 J. Koskinen et al., A dynamic discrete-choice model for movement flows.- 11 G. Ragozini et al., On the Analysis of Time-Varying Affiliation Networks: the Case of Stage Co-productions.- 12 M. Ichino and K. Umbleja, Similarity and Dissimilarity Measures for Mixed Feature-type Symbolic Data.- 13 L. D'Ambra et al., Dimensionality reduction methods for contingency tables with ordinal variables.- 14 R. Gerlach and G. Storti, Extended Realized GARCH models.- 15 L. Crosato and B. Zavanella, Updating CPI weights through compositional VAR forecasts: an application to the Italian index.- 16 P. Chirico, Prediction intervals for heteroscedastic series by Holt-Winters methods.- 17 F. Benassi et al., Measuring residential segregation of selected foreign groups with aspatial and spatial evenness indices. A case study.- 18 G. Adelfio et al., Space-time FPCA clustering of multidimensional curves.- 19 D. Rocchini et al., The power of generalized entropy for biodiversity assessment by remote sensing: an open source approach.- 20 A. Lepore

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.