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New Statistical Developments in Data Science

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Cover of 'New Statistical Developments in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Index
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    Chapter 2 User Profile Construction Method for Personalized Access to Data Sources Using Multivariate Conjoint Analysis and Collaborating Filtering
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    Chapter 3 Clustering Communities Using Interval K-Means
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    Chapter 4 Text Mining and Big Textual Data: Relevant Statistical Models
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    Chapter 5 A Three-Way Data Analysis Approach for Analyzing Multiplex Networks
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    Chapter 6 Comparing FPCA Based on Conditional Quantile Functions and FPCA Based on Conditional Mean Function
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    Chapter 7 Statistical Archetypal Analysis for Cognitive Categorization
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    Chapter 8 Inferring Rater Agreement with Ordinal Classification
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    Chapter 9 Bayesian Analysis of ERG Models for Multilevel, Multiplex, and Multilayered Networks with Sampled or Missing Data
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    Chapter 10 Bayesian Kantorovich Deconvolution in Finite Mixture Models
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    Chapter 11 Discovering and Locating High-Energy Extra-galactic Sources by Bayesian Mixture Modelling
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    Chapter 12 Bayesian Estimation of Causal Effects in Carcinogenicity Tests Based upon CTA
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    Chapter 13 Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective
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    Chapter 14 Sampling and Modelling Issues Using Big Data in Now-Casting
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    Chapter 15 Sample Design for the Integration of Population Census and Social Surveys Il Disegno Campionario per L’integrazione Del Censimento Della Popolazione e delle Indagini Sociali
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    Chapter 16 Sampling Schemes Using Scanner Data for the Consumer Price Index
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    Chapter 17 An Investigation of Hierarchical and Empirical Bayesian Small Area Predictors Under Measurement Error
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    Chapter 18 Indicators for Monitoring the Survey Data Quality When Non-response or a Convenience Sample Occurs
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    Chapter 19 The Propensity to Leave the Country of Origin of Young Europeans
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    Chapter 20 New Insights on Student Evaluation of Teaching in Italy
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    Chapter 21 Eurostat Methodological Network: Skills Mapping for a Collaborative Statistical Office
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    Chapter 22 The Evaluation of the Inequality Between Population Subgroups
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    Chapter 23 Basketball Analytics Using Spatial Tracking Data
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    Chapter 24 New Fuzzy Composite Indicators for Dyslexia
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    Chapter 25 Who Tweets in Italian? Demographic Characteristics of Twitter Users
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    Chapter 26 An Approach to Developing a Scoring System for Peer-to-Peer (p2p) Lending Platform
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    Chapter 27 What Do Employers Look for When Hiring New Graduates? Answers from the Electus Survey
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    Chapter 28 Modeling Household Income with Contaminated Unimodal Distributions
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    Chapter 29 Endowments and Rewards in the Labour Market: Their Role in Changing Wage Inequality in Europe
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    Chapter 30 An Analysis of Wage Distribution Equality Dynamics in Poland Based on Linear Dependencies
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    Chapter 31 Unions of Orthogonal Arrays and Their Aberrations via Hilbert Bases
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    Chapter 32 A Copula-Based Hidden Markov Model for Toroidal Time Series
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    Chapter 33 A Biased Kaczmarz Algorithm for Clustered Equations
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    Chapter 34 Nearly Unbiased Probability Plots for Extreme Value Distributions
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    Chapter 35 Estimating High-Dimensional Regression Models with Bootstrap Group Penalties
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Title
New Statistical Developments in Data Science
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-21158-5
ISBNs
978-3-03-021157-8, 978-3-03-021158-5
Editors

Petrucci, Alessandra, Racioppi, Filomena, Verde, Rosanna

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 2 100%

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