New statistical goodness of fit techniques in noisy inhomogen ous inverse problems With application to the recovering of the luminosity distri bution of the Milky Way

  • Nico-lai. Bissantz Nicolai Bissantz
  • Published 2001

Abstract

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 parameter estimate resulting from a least squares fit, say, and in a second step various kinds of χ goodness of fit measures, to assess whether the deviation between data and estimated… (More)

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