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Article
Testing hypotheses with fuzzy data: The fuzzy p-value
Statistical hypothesis testing is very important for finding decisions in practical problems. Usually, the underlying data are assumed to be precise numbers, but it is much more realistic in general to conside...
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Article
Robust canonical correlations: A comparative study
Several approaches for robust canonical correlation analysis will be presented and discussed. A first method is based on the definition of canonical correlation analysis as looking for linear combinations of t...
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Article
Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator
The penalized maximum likelihood estimator (PMLE) has been widely used for variable selection in high-dimensional data. Various penalty functions have been employed for this purpose, e.g., Lasso, weighted Las...
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Article
Erratum to: Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator
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Article
Robust second-order least-squares estimation for regression models with autoregressive errors
Rosadi and Peiris (Comput Stat 29:931–943, 2014) applied the second-order least squares estimator (SLS), which was proposed in Wang and Leblanc (Ann Inst of Stat Math 60:883–900, 2008), to regression models with ...