Geometric aspects of robust testing for normality and sphericity

Stochastic Robustness of Control Systems under random excitation motivates challenging developments in geometric approach to robustness. The assumption of normality is rarely met when analyzing real data and thus the use of classic parametric methods with violated assumptions can result in the inacc...

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Bibliographic Details
Main Authors: Wolf-Dieter Richter, Lubos Strelec, Hamid Abban, Milan Stehlik
Format: Default Article
Published: 2017
Subjects:
Statistics not elsewhere classified
Other mathematical sciences not elsewhere classified
Huberization
Trimming
Lehman-Bickel functional
Monte Carlo simulations
Power comparison
Robust tests for normality
Normality
Sphericity
Statistics
Mathematical Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/23634
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https://hdl.handle.net/2134/23634

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