Barbara Brune
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View article: A rank-based estimation method for mixed effects models in the presence of outlying data
A rank-based estimation method for mixed effects models in the presence of outlying data Open
We present an approach to the rank-based estimation of mixed effects models, extending existing methods to random effects structures beyond random intercepts. The estimates obtained from our procedure are insensitive to outlying observatio…
View article: Goodness‐of‐fit testing based on graph functionals for homogeneous Erdös–Rényi graphs
Goodness‐of‐fit testing based on graph functionals for homogeneous Erdös–Rényi graphs Open
The Erdös–Rényi graph is a popular choice to model network data as it is parsimoniously parameterized, straightforward to interpret and easy to estimate. However, it has limited suitability in practice, since it often fails to capture cruc…
View article: robnptests – An R package for robust two-samplelocation and dispersion tests
robnptests – An R package for robust two-samplelocation and dispersion tests Open
The R (R Core Team, 2022) package robnptests is a compilation of two-sample tests selected by two criteria: The tests are (i) robust against outliers and (ii) (approximately) distribution free.Criterion (ii) means that the implemented test…
View article: Quantifying the influence of encapsulant and backsheet composition on PV‐power and electrical degradation
Quantifying the influence of encapsulant and backsheet composition on PV‐power and electrical degradation Open
Although the technical and economic properties of the standard polymer photovoltaic (PV) materials (ethylene‐vinyl acetate (EVA) encapsulant and fluorine‐containing polyethylene terephthalate (PET) backsheet) meet the basic technical requi…
View article: A state-space approach to time-varying reduced-rank regression
A state-space approach to time-varying reduced-rank regression Open
We propose a new approach to reduced-rank regression that allows for time-variation in the regression coefficients. The Kalman filter based estimation allows for usage of standard methods and easy implementation of our procedure. The EM-al…
View article: A state-space approach to time-varying reduced-rank regression
A state-space approach to time-varying reduced-rank regression Open
We propose a new approach to reduced-rank regression that allows for time-variation in the regression coefficients. The Kalman filter based estimation allows for usage of standard methods and easy implementation of our procedure. The EM-al…