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Advanced Statistical Methods for the Analysis of Large Data-Sets

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Cover of 'Advanced Statistical Methods for the Analysis of Large Data-Sets'

Table of Contents

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    Book Overview
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    Chapter 1 Clustering Large Data Set: An Applied Comparative Study
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    Chapter 2 Clustering in Feature Space for Interesting Pattern Identification of Categorical Data
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    Chapter 3 Clustering Geostatistical Functional Data
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    Chapter 4 Joint Clustering and Alignment of Functional Data: An Application to Vascular Geometries
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    Chapter 5 Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering
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    Chapter 6 Longitudinal Analysis of Gene Expression Profiles Using Functional Mixed-Effects Models
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    Chapter 7 A Permutation Solution to Compare Two Hepatocellular Carcinoma Markers
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    Chapter 8 Statistical Perspective on Blocking Methods When Linking Large Data-sets
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    Chapter 9 Integrating Households Income Microdata in the Estimate of the Italian GDP
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    Chapter 10 The Employment Consequences of Globalization: Linking Data on Employers and Employees in the Netherlands
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    Chapter 11 Applications of Bayesian Networks in Official Statistics
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    Chapter 12 A Correlated Random Effects Model for Longitudinal Data with Non-ignorable Drop-Out: An Application to University Student Performance
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    Chapter 13 Risk Analysis Approaches to Rank Outliers in Trade Data
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    Chapter 14 Problems and Challenges in the Analysis of Complex Data: Static and Dynamic Approaches
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    Chapter 15 Ensemble Support Vector Regression:A New Non-parametric Approach for Multiple Imputation
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    Chapter 16 On the Use of PLS Regression for Forecasting Large Sets of Cointegrated Time Series
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    Chapter 17 Large-Scale Portfolio Optimisation with Heuristics
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    Chapter 18 Detecting Short-Term Cycles in Complex Time Series Databases
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    Chapter 19 Assessing the Beneficial Effects of Economic Growth: The Harmonic Growth Index
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    Chapter 20 Time Series Convergence within I(2) Models: the Case of Weekly Long Term Bond Yields in the Four Largest Euro Area Countries
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    Chapter 21 Anthropogenic CO 2 Emissions and Global Warming: Evidence from Granger Causality Analysis
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    Chapter 22 Temporal and Spatial Statistical Methods to Remove External Effects on Groundwater Levels
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    Chapter 23 Reduced Rank Covariances for the Analysis of Environmental Data
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    Chapter 24 Radon Level in Dwellings and Uranium Content in Soil in the Abruzzo Region: A Preliminary Investigation by Geographically Weighted Regression
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    Chapter 25 Applications of Large Deviations to Hidden Markov Chains Estimation
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    Chapter 26 Multivariate Tail Dependence Coefficients for Archimedean Copulae
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    Chapter 27 A Note on Density Estimation for Circular Data
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    Chapter 28 Markov Bases for Sudoku Grids
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    Chapter 29 Estimating the Probability of Moonlighting in Italian Building Industry
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    Chapter 30 Use of Interactive Plots and Tables for Robust Analysis of International Trade Data
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    Chapter 31 Generational Determinants on the Employment Choice in Italy
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    Chapter 32 Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis
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    Chapter 33 Web Surveys: Methodological Problems and Research Perspectives
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    Chapter 34 Semantic Based DCM Models for Text Classification
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    Chapter 35 Probabilistic Relational Models for Operational Risk: A New Application Area and an Implementation Using Domain Ontologies
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    Chapter 36 Efficient Statistical Sample Designs in a GIS for Monitoring the Landscape Changes
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    Chapter 37 Studying Foreigners’ Migration Flows Through a Network Analysis Approach
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    Chapter 38 Estimation of Income Quantiles at the Small Area Level in Tuscany
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    Chapter 39 The Effects of Socioeconomic Background and Test-taking Motivation on Italian Students’ Achievement
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    Chapter 40 Firm Size Dynamics in an Industrial District: The Mover-Stayer Model in Action
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    Chapter 41 Multiple Correspondence Analysis for the Quantification and Visualization of Large Categorical Data Sets
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    Chapter 42 Multivariate Ranks-Based Concordance Indexes
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    Chapter 43 Methods for Reconciling the Micro and the Macro in Family Demography Research: A Systematisation
Attention for Chapter 1: Clustering Large Data Set: An Applied Comparative Study
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Chapter title
Clustering Large Data Set: An Applied Comparative Study
Chapter number 1
Book title
Advanced Statistical Methods for the Analysis of Large Data-Sets
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-21037-2_1
Book ISBNs
978-3-64-221036-5, 978-3-64-221037-2
Authors

Laura Bocci, Isabella Mingo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Researcher 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Arts and Humanities 1 33%
Mathematics 1 33%
Business, Management and Accounting 1 33%