Recent Advances in Robust Statistics: Theory and Applications

Edited by Claudio Agostinelli (), Ayanendranath Basu (), Peter Filzmoser () and Diganta Mukherjee ()

in Springer Books from Springer

Date: 2016
ISBN: 978-81-322-3643-6
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Chapters in this book:

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

Adelchi Azzalini

Determining the Number of Clusters Using Multivariate Ranks

Mohammed Baragilly and Biman Chakraborty

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

Christophe Croux and Viktoria Öllerer

Robust Mixture Regression Using Mixture of Different Distributions

Fatma Zehra Doğru and Olcay Arslan

Robust Statistical Engineering by Means of Scaled Bregman Distances

Anna-Lena Kißlinger and Wolfgang Stummer

SB-Robustness of Estimators

Arnab Kumar Laha and A. C. Pravida Raja

Combining Linear Dimension Reduction Subspaces

Eero Liski, Klaus Nordhausen, Hannu Oja and Anne Ruiz-Gazen

On the Computation of Symmetrized M-Estimators of Scatter

Jari Miettinen, Klaus Nordhausen, Sara Taskinen and David E. Tyler

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

Han Lin Shang

Asymptotically Stable Tests with Application to Robust Detection

Georgy Shevlyakov

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DOI: 10.1007/978-81-322-3643-6

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