Abstract
We consider in this paper goodness of fit tests of the null hypothesis that the underlying distribution function of a sample $F(x)$ belongs to a given family of distribution functions $\scr F$. We propose a method for deriving approximate values of the power of a weighted Cramér-von Mises type test of goodness of fit. Our method relies on Karhunen-Loève expansions on $(0,1)$ for the weighted Brownian bridges.
Citation
Mohammed Boukili Makhoukhi. "An approximation for the power function of a semi-parametric test of fit." Afr. Stat. 3 (1) 73 - 82, 2008. https://doi.org/10.4314/afst.v3i1.46875
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