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In the previous section we have established a sample-path large deviation principle on a finite time grid; this LDP provides us with logarithmic asymptotics of the probability that
A., Some application of sample Analogue to the probability integral transformation and coverages property, American statiscien 30 (1976), 78–85.. Mendenhall W., Introduction
These power functions will allow us to compare the use- fulness of the ANOVA and Kruskal-Wallis tests under various kinds and degrees of non-normality (combinations of the g and
(The Elliott-Halberstam conjecture does allow one to take B = 2 in (1.39), and therefore leads to small improve- ments in Huxley’s results, which for r ≥ 2 are weaker than the result
“Breuil-M´ezard conjecture and modularity lifting for potentially semistable deformations after
Now we turn to the proof of Theorem 3.4. We will need the following lemma on eigenvalue collision... The proof for the left singular vectors is nearly the same as the sample
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