12 citations · 32 across the 4 of their papers we have counts for
Showing astro-phShow all
3 papers · 1 filter
astro-ph2003★ 7 cited
Parametric versus non-parametric modelling? Statistical evidence based on P-value curves
N. Bissantz, A. Munk, A. Scholz
In astrophysical (inverse) regression problems it is an important task to decide whether a given parametric model describes the observational data sufficiently well or whether a no…
astro-ph2002★ 4 cited
A graphical selection method for parametric models in noisy inhomogeneous regression
N. Bissantz, A. Munk
A common problem in physics is to fit regression data by a parametric class of functions, and to decide whether a certain functional form allows for a good fit of the data. Common…
astro-ph2001★ 12 cited
New statistical goodness of fit techniques in noisy inhomogeneous inverse problems - With application to the recovering of the luminosity distribution of the Milky Way
Nicolai Bissantz, Axel Munk
The assumption that a parametric class of functions fits the data structure sufficiently well is common in fitting curves and surfaces to regression data. One then derives a parame…