Advances in Theoretical and Applied Statistics

Editors:

ISBN: 978-3-642-35587-5 (Print) 978-3-642-35588-2 (Online)

Table of contents (47 chapters)

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  1. Front Matter

    Pages i-xix

  2. Statistical Theory

    1. Front Matter

      Pages 1-1

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      Book Chapter

      Pages 3-12

      Default Priors Based on Pseudo-Likelihoods for the Poisson-GPD Model

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      Pages 13-22

      Robustness, Dispersion, and Local Functions in Data Depth

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      Pages 23-27

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

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      Book Chapter

      Pages 29-39

      On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process

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      Pages 41-49

      Archetypal Symbolic Objects

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      Book Chapter

      Pages 51-60

      Lorenz Zonoids and Dependence Measures: A Proposal

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      Book Chapter

      Pages 61-71

      Algebraic Generation of Orthogonal Fractional Factorial Designs

  3. Methods for Time Series, Spatial and Functional Data

    1. Front Matter

      Pages 73-73

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      Book Chapter

      Pages 75-86

      A Functional Spatio-Temporal Model for Geometric Shape Analysis

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      Book Chapter

      Pages 87-98

      Vector Threshold Moving Average Models: Model Specification and Invertibility

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      Book Chapter

      Pages 99-108

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

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      Pages 109-118

      Spectral Decomposition of the AR Metric

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      Book Chapter

      Pages 119-128

      Nonlinear Nonstationary Model Building by Genetic Algorithms

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      Pages 129-139

      Using the Autodependogram in Model Diagnostic Checking

  4. Statistical Modelling and Data Analysis

    1. Front Matter

      Pages 141-141

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      Book Chapter

      Pages 143-153

      Refined Estimation of a Light Tail: An Application to Environmental Data

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      Book Chapter

      Pages 155-165

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

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      Book Chapter

      Pages 167-176

      A Model for Correlated Paired Comparison Data

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      Book Chapter

      Pages 177-186

      Closed Skew Normal Stochastic Frontier Models for Panel Data

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      Book Chapter

      Pages 187-197

      How Far Can Man Go?

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      Book Chapter

      Pages 199-209

      Joint Modeling of Longitudinal and Time-to-Event Data: Challenges and Future Directions

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      Book Chapter

      Pages 211-220

      A Class of Linear Regression Models for Imprecise Random Elements

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