Topics in Theoretical and Applied Statistics

1. Auflage 2016
ISBN: 978-3-319-27272-6
Verlag: Springer

Buch, Englisch, 315 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 6151 g

Reihe: Studies in Theoretical and Applied Statistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Alleva, Giorgio

Giommi, Andrea

Fachgebiete

• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Geowissenschaften Geographie | Raumplanung Geostatistik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik

Inhaltsverzeichnis

Part I  Statistical Theory and Methods.-  Part II  Data Mining and Multivariate Data Analysis.-  Part III  Sampling and Estimation Methods.-  Part IV  Social Statistics, Demography and Health Data .- Part V  Economic Statistics and Econometrics.

Über Autor(innen)

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.