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Advances in Statistical Models for Data Analysis

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Cover of 'Advances in Statistical Models for Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Using the dglars Package to Estimate a Sparse Generalized Linear Model
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    Chapter 2 A Depth Function for Geostatistical Functional Data
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    Chapter 3 Robust Clustering of EU Banking Data
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    Chapter 4 Sovereign Risk and Contagion Effects in the Eurozone: A Bayesian Stochastic Correlation Model
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    Chapter 5 Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries
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    Chapter 6 Asymptotics in Survey Sampling for High Entropy Sampling Designs
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    Chapter 7 A Note on the Use of Recursive Partitioning in Causal Inference
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    Chapter 8 Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach
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    Chapter 9 Families of Parsimonious Finite Mixtures of Regression Models
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    Chapter 10 Quantile Regression for Clustering and Modeling Data
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    Chapter 11 Nonmetric MDS Consensus Community Detection
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    Chapter 12 The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models
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    Chapter 13 New Flexible Probability Distributions for Ranking Data
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    Chapter 14 Robust Estimation of Regime Switching Models
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    Chapter 15 Incremental Visualization of Categorical Data
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    Chapter 16 A New Proposal for Tree Model Selection and Visualization
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    Chapter 17 Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys
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    Chapter 18 Comparing Fuzzy and Multidimensional Methods to Evaluate Well-Being in European Regions
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    Chapter 19 Cluster Analysis of Three-Way Atmospheric Data
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    Chapter 20 Asymmetric CLUster Analysis Based on SKEW-Symmetry: ACLUSKEW
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    Chapter 21 Parsimonious Generalized Linear Gaussian Cluster-Weighted Models
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    Chapter 22 New Perspectives for the MDC Index in Social Research Fields
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    Chapter 23 Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches
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    Chapter 24 Novelty Detection with One-Class Support Vector Machines
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    Chapter 25 Using Discrete-Time Multistate Models to Analyze Students’ University Pathways
Attention for Chapter 14: Robust Estimation of Regime Switching Models
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Chapter title
Robust Estimation of Regime Switching Models
Chapter number 14
Book title
Advances in Statistical Models for Data Analysis
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-17377-1_14
Book ISBNs
978-3-31-917376-4, 978-3-31-917377-1
Authors

Luigi Grossi, Fany Nan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 57%
Student > Ph. D. Student 2 29%
Professor > Associate Professor 1 14%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 29%
Business, Management and Accounting 1 14%
Energy 1 14%
Engineering 1 14%
Unknown 2 29%