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JL: Part of it is branding, some of it is distribution deals.
It is a data-based method and, in this sense, it is distribution free.
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It is distribution-free, tractable, consistent and suitable for clustered designs and crossed designs.
It is distribution-free because no classical theoretical distributions are assumed in advance and the inference result provides a universal form of PDF.
This test is parametric (contra incorrect statements in [20]) but it is distribution-free, and so avoids the assumptions of normality and homogeneity of variance that are unlikely to hold for comparative data [22], [23], and which can also mislead the standard tests.
Among the advantages of CFA often mentioned are: it is suitable for data on a nominal scale level and it is distribution-free.
The Wilcoxon test is known to be more conservative than the Student's t-test and the Welch-test, however, we have more confidence in this test since it is distribution-free, in particular it does not depend on the partly unrealistic assumption of an underlying Gaussian distribution.
It's distribution.
Lynch says it's distribution that's difficult.
First it was distribution.
It makes sense for other property sites, like Extate (which recently announced funding) to launch APIs, because it's distribution, right?
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