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Robustness and Complex Data Structures

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Cover of 'Robustness and Complex Data Structures'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Multivariate Median
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    Chapter 2 Depth Statistics
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    Chapter 3 Multivariate Extremes: A Conditional Quantile Approach
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    Chapter 4 High-Breakdown Estimators of Multivariate Location and Scatter
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    Chapter 5 Upper and Lower Bounds for Breakdown Points
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    Chapter 6 The Concept of α -Outliers in Structured Data Situations
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    Chapter 7 Multivariate Outlier Identification Based on Robust Estimators of Location and Scatter
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    Chapter 8 Robustness for Compositional Data
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    Chapter 9 Least Squares Estimation in High Dimensional Sparse Heteroscedastic Models
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    Chapter 10 Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression
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    Chapter 11 Robust Change Point Analysis
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    Chapter 12 Robust Signal Extraction from Time Series in Real Time
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    Chapter 13 Robustness in Time Series: Robust Frequency Domain Analysis
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    Chapter 14 Robustness in Statistical Forecasting
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    Chapter 15 Finding Outliers in Linear and Nonlinear Time Series
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    Chapter 16 Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods
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    Chapter 17 Some Machine Learning Approaches to the Analysis of Temporal Data
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    Chapter 18 Correlation, Tail Dependence and Diversification
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    Chapter 19 Evidence for Alternative Hypotheses
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    Chapter 20 Robustness and Complex Data Structures
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    Chapter 21 Data Mining in Pharmacoepidemiological Databases
  23. Altmetric Badge
    Chapter 22 Meta-Analysis of Trials with Binary Outcomes
Overall attention for this book and its chapters
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Title
Robustness and Complex Data Structures
Published by
Springer Berlin Heidelberg, May 2015
DOI 10.1007/978-3-642-35494-6
ISBNs
978-3-64-235493-9, 978-3-64-244386-2, 978-3-64-235494-6
Editors

Becker, Claudia, Fried, Roland, Kuhnt, Sonja

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 36%
Student > Master 7 14%
Researcher 4 8%
Student > Doctoral Student 3 6%
Professor 2 4%
Other 7 14%
Unknown 9 18%
Readers by discipline Count As %
Mathematics 13 26%
Engineering 6 12%
Economics, Econometrics and Finance 5 10%
Computer Science 5 10%
Environmental Science 3 6%
Other 7 14%
Unknown 11 22%