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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
  3. Altmetric Badge
    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
  12. Altmetric Badge
    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
  20. Altmetric Badge
    Chapter 19 Evidence for Alternative Hypotheses
  21. Altmetric Badge
    Chapter 20 Robustness and Complex Data Structures
  22. Altmetric Badge
    Chapter 21 Data Mining in Pharmacoepidemiological Databases
  23. Altmetric Badge
    Chapter 22 Meta-Analysis of Trials with Binary Outcomes
Attention for Chapter 2: Depth Statistics
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Chapter title
Depth Statistics
Chapter number 2
Book title
Robustness and Complex Data Structures
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-35494-6_2
Book ISBNs
978-3-64-235493-9, 978-3-64-235494-6
Authors

Karl Mosler, Mosler, Karl

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Belgium 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 36%
Researcher 7 19%
Student > Master 5 14%
Professor 2 6%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 11 31%
Mathematics 10 28%
Environmental Science 3 8%
Engineering 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 6 17%