Springer Advances in Theoretical and Applied Statistics

Product Description This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics. From the Back Cover This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics. About the Author Avner Bar Hen, Professor of Statistics at the University of Paris Descartes. His primary research interests are in multivariate analysis, forest dynamics modeling, phylogenetics, and the generalized linear model. From 2008 to 2011, he served as president of the SFdS (French Society of Statistics). Fortunato Pesarin is an emeritus professor of Statistics at the University of Padua’s Department of Statistics. His main research interests included nonparametric methods, bootstrap and permutation tests. He is co-author of three leading books on multivariate permutation tests based on the nonparametric combination methodology of dependent permutation partial tests. Nicola Torelli, Professor of Statistics at the University of Trieste. His interests focus on the analysis of data from complex surveys and classification and clustering techniques. He is currently president of the SIS (Italian Statistical Society).