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Article
Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data
All variables of several large data sets from regional geochemical and environmental surveys were tested for a normal or lognormal data distribution. As a general rule, almost all variables (up to more than 5...
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Article
Fitting multiplicative models by robust alternating regressions
In this paper a robust approach for fitting multiplicative models is presented. Focus is on the factor analysis model, where we will estimate factor loadings and scores by a robust alternating regression algor...
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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
Open AccessComparison of some linear regression methods – available in R – for a QSPR problem
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Article
Open AccessDiagnoses-related procedure bundles in outpatient care – results from a research project using secondary data
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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 ...
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Article
Open AccessClassical and Robust Regression Analysis with Compositional Data
Compositional data carry their relevant information in the relationships (logratios) between the compositional parts. It is shown how this source of information can be used in regression modeling, where the co...
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Article
Open AccessRobust logistic zero-sum regression for microbiome compositional data
We introduce the Robust Logistic Zero-Sum Regression (RobLZS) estimator, which can be used for a two-class problem with high-dimensional compositional covariates. Since the log-contrast model is employed, the ...