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Topics on Methodological and Applied Statistical Inference

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Tonio Di Battista

    1. DISFPEQ “G. d’Annunzio” University of Chieti-Pescara, Pescara, Italy

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  2. Elías Moreno

    1. Statistics & Operations Research, University of Granada, Granada, Spain

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  3. Walter Racugno

    1. Department of Mathematics, University of Cagliari Department of Mathematics, Cagliari, Italy

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  • 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)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introducing Prior Information into the Forward Search for Regression

    • Anthony C. Atkinson, Aldo Corbellini, Marco Riani
    Pages 1-8

  3. A Finite Mixture Latent Trajectory Model for Hirings and Separations in the Labor Market

    • Silvia Bacci, Francesco Bartolucci, Claudia Pigini, Marcello Signorelli
    Pages 9-20

  4. Outliers in Time Series: An Empirical Likelihood Approach

    • Roberto Baragona, Domenico Cucina
    Pages 21-29

  5. Advanced Methods to Design Samples for Land Use/Land Cover Surveys

    • Roberto Benedetti, Federica Piersimoni, Paolo Postiglione
    Pages 31-42

  6. Heteroscedasticity, Multiple Populations and Outliers in Trade Data

    • Andrea Cerasa, Francesca Torti, Domenico Perrotta
    Pages 43-50

  7. How to Marry Robustness and Applied Statistics

    • Andrea Cerioli, Anthony C. Atkinson, Marco Riani
    Pages 51-64

  8. Logistic Quantile Regression to Model Cognitive Impairment in Sardinian Cancer Patients

    • Silvia Columbu, Matteo Bottai
    Pages 65-73

  9. Bounding the Probability of Causation in Mediation Analysis

    • A. Philip Dawid, Rossella Murtas, Monica Musio
    Pages 75-84

  10. Analysis of Collaboration Structures Through Time: The Case of Technological Districts

    • Maria Rosaria D’Esposito, Domenico De Stefano, Giancarlo Ragozini
    Pages 85-93

  11. Bayesian Spatiotemporal Modeling of Urban Air Pollution Dynamics

    • Simone Del Sarto, M. Giovanna Ranalli, K. Shuvo Bakar, David Cappelletti, Beatrice Moroni, Stefano Crocchianti et al.
    Pages 95-103

  12. Clustering Functional Data on Convex Function Spaces

    • Tonio Di Battista, Angela De Sanctis, Francesca Fortuna
    Pages 105-114

  13. The Impact of Demographic Change on Sustainability of Emergency Departments

    • Enrico di Bella, Paolo Cremonesi, Lucia Leporatti, Marcello Montefiori
    Pages 115-129

  14. Bell-Shaped Fuzzy Numbers Associated with the Normal Curve

    • Fabrizio Maturo, Francesca Fortuna
    Pages 131-144

  15. Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources

    • Vittorio Fuccella, Domenico De Stefano, Maria Prosperina Vitale, Susanna Zaccarin
    Pages 145-153

  16. Statistical Issues in Bayesian Meta-Analysis

    • Elías Moreno
    Pages 155-172

  17. Statistical Evaluation of Forensic DNA Mixtures from Multiple Traces

    • Julia Mortera
    Pages 173-180

  18. A Note on Semivariogram

    • Giovanni Pistone, Grazia Vicario
    Pages 181-190

  19. Geographically Weighted Regression Analysis of Cardiovascular Diseases: Evidence from Canada Health Data

    • Anna Lina Sarra, Eugenia Nissi
    Pages 191-203

  20. Pseudo-Likelihoods for Bayesian Inference

    • Laura Ventura, Walter Racugno
    Pages 205-220
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Keywords

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

  • DISFPEQ “G. d’Annunzio” University of Chieti-Pescara, Pescara, Italy

    Tonio Di Battista

  • Statistics & Operations Research, University of Granada, Granada, Spain

    Elías Moreno

  • Department of Mathematics, University of Cagliari Department of Mathematics, Cagliari, Italy

    Walter Racugno

About the editors

The three editors are researchers well known to national and international statistical community. In addition, each of them has a large scientific production and the results of their research are published in numerous journals well classified.


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