Overview
Part of the book series: Studies in Theoretical and Applied Statistics (STAS)
Part of the book sub series: Selected Papers of the Statistical Societies (STASSPSS)
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Table of contents (27 papers)
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Statistical Theory and Methods
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Data Mining and Multivariate Data Analysis
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Sampling and Estimation Methods
Keywords
About this book
This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.
Editors and Affiliations
About the editors
Giorgio Alleva is Professor at the Department of Methods and Models for Economics, Territory and Finance (MEMOTEF) at the Faculty of Economics, Sapienza University of Rome. He is the President of ISTAT since 2014.
Andrea Giommi is Professor at the Department of Statististics, Computer Science, Applications ‘Giuseppe Parenti‘ DiSIA.
Bibliographic Information
Book Title: Topics in Theoretical and Applied Statistics
Editors: Giorgio Alleva, Andrea Giommi
Series Title: Studies in Theoretical and Applied Statistics
DOI: https://doi.org/10.1007/978-3-319-27274-0
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 2016
Hardcover ISBN: 978-3-319-27272-6Published: 20 May 2016
Softcover ISBN: 978-3-319-80106-3Published: 26 May 2018
eBook ISBN: 978-3-319-27274-0Published: 19 May 2016
Series ISSN: 2194-7767
Series E-ISSN: 2194-7775
Edition Number: 1
Number of Pages: XI, 315
Number of Illustrations: 22 b/w illustrations, 18 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Social Sciences, Humanities, Law, Demography
Industry Sectors: Aerospace, Biotechnology, Chemical Manufacturing, Energy, Utilities & Environment, Finance, Business & Banking, IT & Software, Oil, Gas & Geosciences, Pharma, Telecommunications