Editors:
- Covers special topics and applications illustrating the wide use of statistical models
- Gives a picture of the state of the art in some advanced statistical topics
- Opens a window on many statistical applied fields
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 402)
Conference series link(s): SIS: Scientific Meeting of the Italian Statistical Society
Conference proceedings info: SIS 2018.
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Table of contents (20 papers)
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Front Matter
About this book
The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contributed sessions.
This volume collects a selection of twenty extended contributions covering a wide area of applied and theoretical issues, according to the modern trends in statistical sciences. Only to mention some topics, there are papers on modern textual analysis, sensorial analysis, social inequalities, themes on demography, modern modeling of functional data and high dimensional data, and many other topics.
This volume is addressed to academics, PhD students, professionals and researchers in applied and theoretical statistical models for data analysis.Editors and Affiliations
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Department of Economics and Management, University of Brescia, Brescia, Italy
Eugenio Brentari
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Department of Economics, Business and Statistics, University of Palermo, Palermo, Italy
Marcello Chiodi
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Statistical Computing Laboratory, Faculty of Informatics, Università della Svizzera Italiana, Lugano, Switzerland
Ernst-Jan Camiel Wit
About the editors
Eugenio Brentari is currently full Professor of Statistics, Department of Economics and Management, University of Brescia (Italy). His research work mainly focuses on modern approach to the study of skewness, problem of Behrens-Fisher, and Statistics for sensory analysis. In the board of the Italian Statistical Society from 2014 to 2018. From 2015, he is the coordinator of StatisticAll, the only festival dedicated to Statistics and Demography, held in Treviso (Italy).
Marcello Chiodi is a full Professor of Statistics, Department of Economics, Business and Statistics, University of Palermo (Italy) since 2000. Coordinator of Phd council (2008-2015), Head of the Department (2015-2018), President of the Commission for Professor in Statistics (2019-2022). In the board of the Italian Statistical Society from 2004 to 2008. He wrotes in the area of Statistics in seismology, dependence models, multivariate statistics and approximations to samplingdistributions.
Ernst C. Wit is Professor of Statistics and Data Science at the Università della Svizzera italiana, Switzerland. He holds PhDs in Philosophy (1997, Penn State) and Statistics (2000, University of Chicago) and held academic positions in Australia, UK and the Netherlands. His research focuses on high-dimensional inference and network modelling. He is the author of 120 peer-reviewed publications. He has served as the President of the European Bernoulli Society, President of the Dutch Biostatistics Society and as a Director of the International Biometrics Society.
Bibliographic Information
Book Title: Models for Data Analysis
Book Subtitle: SIS 2018, Palermo, Italy, June 20–22
Editors: Eugenio Brentari, Marcello Chiodi, Ernst-Jan Camiel Wit
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-031-15885-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-15884-1Published: 21 February 2023
Softcover ISBN: 978-3-031-15887-2Published: 22 February 2024
eBook ISBN: 978-3-031-15885-8Published: 20 February 2023
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 318
Number of Illustrations: 28 b/w illustrations, 59 illustrations in colour
Topics: Statistical Theory and Methods, Statistics, general, Applied Statistics, Statistics and Computing/Statistics Programs