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Advances in Theoretical and Applied Statistics

  • Book
  • © 2013

Overview

Editors:
  1. Nicola Torelli

    1. Department of Statistics, University of Trieste, Trieste, Italy

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  2. Fortunato Pesarin

    1. Department of Statistics, University of Padua, Padova, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Avner Bar-Hen

    1. Université Paris Descartes, Paris, France

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  • Presents significant and innovative contributions on statistical methodology
  • All contributions selected after a thorough double blind review process
  • Covers a broad range of topics

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 (47 chapters)

  1. Front Matter

    Pages i-xix
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  2. Statistical Theory

    1. Front Matter

      Pages 1-1
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    2. Default Priors Based on Pseudo-Likelihoods for the Poisson-GPD Model

      • Stefano Cabras
      Pages 3-12

    3. Robustness, Dispersion, and Local Functions in Data Depth

      • Mario Romanazzi, Claudio Agostinelli
      Pages 13-22

    4. New Distribution-Free Plotting Position Through an Approximation to the Beta Median

      • Pasquale Erto, Antonio Lepore
      Pages 23-27

    5. On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process

      • Sergueï Dachian, Ilia Negri
      Pages 29-39

    6. Archetypal Symbolic Objects

      • M. R. D’Esposito, F. Palumbo, G. Ragozini
      Pages 41-49

    7. Lorenz Zonoids and Dependence Measures: A Proposal

      • Emanuela Raffinetti, Paolo Giudici
      Pages 51-60

    8. Algebraic Generation of Orthogonal Fractional Factorial Designs

      • Roberto Fontana, Giovanni Pistone
      Pages 61-71

  3. Methods for Time Series, Spatial and Functional Data

    1. Front Matter

      Pages 73-73
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    2. A Functional Spatio-Temporal Model for Geometric Shape Analysis

      • Lara Fontanella, Luigi Ippoliti, Pasquale Valentini
      Pages 75-86

    3. Vector Threshold Moving Average Models: Model Specification and Invertibility

      • Marcella Niglio, Cosimo Damiano Vitale
      Pages 87-98

    4. A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data

      • Elvira Romano, Antonio Balzanella, Rosanna Verde
      Pages 99-108

    5. Spectral Decomposition of the AR Metric

      • Maria Iannario, Domenico Piccolo
      Pages 109-118

    6. Nonlinear Nonstationary Model Building by Genetic Algorithms

      • Francesco Battaglia, Mattheos K. Protopapas
      Pages 119-128

    7. Using the Autodependogram in Model Diagnostic Checking

      • Luca Bagnato, Antonio Punzo
      Pages 129-139

  4. Statistical Modelling and Data Analysis

    1. Front Matter

      Pages 141-141
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    2. Refined Estimation of a Light Tail: An Application to Environmental Data

      • M. Ivette Gomes, Lígia Henriques-Rodrigues, Frederico Caeiro
      Pages 143-153

    3. Model-Based Classification of Clustered Binary Data with Non-ignorable Missing Values

      • Francesco Lagona
      Pages 155-165

    4. A Model for Correlated Paired Comparison Data

      • Manuela Cattelan, Cristiano Varin
      Pages 167-176
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Keywords

About this book

This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics.

Editors and Affiliations

  • Department of Statistics, University of Trieste, Trieste, Italy

    Nicola Torelli

  • Department of Statistics, University of Padua, Padova, Italy

    Fortunato Pesarin

  • Université Paris Descartes, Paris, France

    Avner Bar-Hen

About the editors

Avner Bar Hen, Professor of Statistics at the University of Paris Descartes. His primary research interests are in multivariate analysis, forest dynamics modeling, phylogenetics, and the generalized linear model. From 2008 to 2011, he served as president of the SFdS (French Society of Statistics).

Fortunato Pesarin is an emeritus professor of Statistics at the University of Padua’s Department of Statistics. His main research interests included nonparametric methods, bootstrap and permutation tests. He is co-author of three leading books on multivariate permutation tests based on the nonparametric combination methodology of dependent permutation partial tests.

Nicola Torelli, Professor of Statistics at the University of Trieste. His interests focus on the analysis of data from complex surveys and classification and clustering techniques. He is currently president of the SIS (Italian Statistical Society).

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