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Chapter and Conference Paper
The Probability Integral Transformation for Non Necessarily Absolutely Continuous Distribution Functions, and its Application to Goodness-of-Fit Tests
To any probability measure Q on ℝk, it is possible to associate a probability transition (i.e. a Markov kernel) QR, from ℝk to [0,1]k, such that the composition of Q by QR is the uniform probability (or Lebesgue ...