Editors:
- Presents new perspectives in statistical methodology to solve problems arising from the analysis of real-life phenomena
- Offers examples on how to approach data analysis in different fields
- Contains numerous applications in challenging real problems
- Includes supplementary material: sn.pub/extras
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 (19 papers)
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Front Matter
About this book
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.
Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences.
The software packages used in the papers are made available by the authors.
This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.
Editors and Affiliations
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DISFPEQ “G. d’Annunzio” University of Chieti-Pescara, Pescara, Italy
Tonio Di Battista
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Statistics & Operations Research, University of Granada, Granada, Spain
Elías Moreno
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Department of Mathematics, University of Cagliari Department of Mathematics, Cagliari, Italy
Walter Racugno
About the editors
Bibliographic Information
Book Title: Topics on Methodological and Applied Statistical Inference
Editors: Tonio Di Battista, Elías Moreno, Walter Racugno
Series Title: Studies in Theoretical and Applied Statistics
DOI: https://doi.org/10.1007/978-3-319-44093-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-44092-7Published: 12 October 2016
Softcover ISBN: 978-3-319-82981-4Published: 16 June 2018
eBook ISBN: 978-3-319-44093-4Published: 11 October 2016
Series ISSN: 2194-7767
Series E-ISSN: 2194-7775
Edition Number: 1
Number of Pages: X, 220
Number of Illustrations: 18 b/w illustrations, 37 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law, Demography