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The Mann-Whitney U test avoids making distributional assumptions other than requiring group distributions of identical shape.
Bootstrapping is a general procedure for computing CIs without making distributional assumptions [62].
Given the relatively small bipolar disorder sample size and uneven distribution of some variables, we estimated the variance in the regression models with non-parametric bootstrap with replacement (1000 replications) to obtain empirical standard error estimates without making distributional assumptions.
A 95% interval calculated from bootstrapped datasets will have 95% coverage without making distributional assumptions.
Because the PCB exposure indicator has missing values it cannot be included without making distributional assumptions.
We also wished to avoid making distributional assumptions about the first-level classification accuracy maps.
Similar(48)
Note that because the distribution of the count of messages sent is skewed, we report medians and significance tests are done with a non-parametric test that does not make distributional assumptions.
Since it does not make distributional assumptions about the response, inferences are quite robust to outliers in the response observations [ 23].
We used an exact binomial approach to meta-analysis, which does not make distributional assumptions or rely on the normal approximation.
This procedure has the advantage that we do not have to make any distributional assumptions, and it has been recommended as the primary statistical test for making inferences about arithmetic means for small-sized samples of skewed cost data.
Here, the sufficient statistics r v for the person parameter estimates are conditioned upon, making any distributional assumptions superfluous.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com