Recent Advances in Robust Statistics: Theory and Applications
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Published By Springer India

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SB-Robustness of Estimators

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_6 ◽

2016 ◽

pp. 115-130

Author(s):

Arnab Kumar Laha ◽

A. C. Pravida Raja

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Flexible Distributions as an Approach to Robustness: The Skew-t Case

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_1 ◽

2016 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Adelchi Azzalini

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On the Computation of Symmetrized M-Estimators of Scatter

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_8 ◽

2016 ◽

pp. 151-167 ◽

Cited By ~ 1

Author(s):

Jari Miettinen ◽

Klaus Nordhausen ◽

Sara Taskinen ◽

David E. Tyler

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Robust Mixture Regression Using Mixture of Different Distributions

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_4 ◽

2016 ◽

pp. 57-79 ◽

Cited By ~ 4

Author(s):

Fatma Zehra Doğru ◽

Olcay Arslan

Keyword(s):

Mixture Regression

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Asymptotically Stable Tests with Application to Robust Detection

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_10 ◽

2016 ◽

pp. 185-199 ◽

Cited By ~ 1

Author(s):

Georgy Shevlyakov

Keyword(s):

Asymptotically Stable ◽

Robust Detection

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Mortality and Life Expectancy Forecasting for a Group of Populations in Developed Countries: A Robust Multilevel Functional Data Method

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_9 ◽

2016 ◽

pp. 169-184

Author(s):

Han Lin Shang

Keyword(s):

Life Expectancy ◽

Functional Data ◽

Developed Countries

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Combining Linear Dimension Reduction Subspaces

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_7 ◽

2016 ◽

pp. 131-149 ◽

Cited By ~ 2

Author(s):

Eero Liski ◽

Klaus Nordhausen ◽

Hannu Oja ◽

Anne Ruiz-Gazen

Keyword(s):

Dimension Reduction ◽

Linear Dimension

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Robust Statistical Engineering by Means of Scaled Bregman Distances

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_5 ◽

2016 ◽

pp. 81-113 ◽

Cited By ~ 8

Author(s):

Anna-Lena Kißlinger ◽

Wolfgang Stummer

Keyword(s):

Bregman Distances

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Determining the Number of Clusters Using Multivariate Ranks

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_2 ◽

2016 ◽

pp. 17-33

Author(s):

Mohammed Baragilly ◽

Biman Chakraborty

Keyword(s):

Number Of Clusters

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Robust and Sparse Estimation of the Inverse Covariance Matrix Using Rank Correlation Measures

Recent Advances in Robust Statistics: Theory and Applications ◽

10.1007/978-81-322-3643-6_3 ◽

2016 ◽

pp. 35-55

Author(s):

Christophe Croux ◽

Viktoria Öllerer

Keyword(s):

Covariance Matrix ◽

Rank Correlation ◽

Sparse Estimation ◽

Inverse Covariance Matrix ◽

Correlation Measures

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Recent Advances in Robust Statistics: Theory and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer India

SB-Robustness of Estimators

Flexible Distributions as an Approach to Robustness: The Skew-t Case

On the Computation of Symmetrized M-Estimators of Scatter

Robust Mixture Regression Using Mixture of Different Distributions

Asymptotically Stable Tests with Application to Robust Detection

Mortality and Life Expectancy Forecasting for a Group of Populations in Developed Countries: A Robust Multilevel Functional Data Method

Combining Linear Dimension Reduction Subspaces

Robust Statistical Engineering by Means of Scaled Bregman Distances

Determining the Number of Clusters Using Multivariate Ranks

Robust and Sparse Estimation of the Inverse Covariance Matrix Using Rank Correlation Measures

Recent Advances in Robust Statistics: Theory and Applications
Latest Publications