Log-transformation of data before the application of parametric test, or the use of non-parametric statistics is often recommended.
12.
Due to the aggregated ( right-skewed ) distribution of group members among groups, the application of parametric statistics would be misleading.
13.
Wolfowitz's main contributions were in the fields of statistical decision theory, non-parametric statistics, sequential analysis, and information theory.
14.
This is a common phenomenon in the context of Bayesian non-parametric statistics where a typical task is to learn distributions on function spaces, which involve effectively infinitely many parameters.
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Abraham's career has been notable for his contributions via non-parametric statistics to galaxy morphological classification, especially at high-redshift and early work on the Hubble Deep Field.
16.
:I think the mean absolute percentage error is fine but Use log of value of guess over actual value then just order the results on that and use non-parametric statistics for the rest.
17.
Or is it because they don't know what they are doing, and because non-parametric statistics or robust statistics confuse people ? talk ) 19 : 47, 11 April 2012 ( UTC)
18.
Parametric statistics that assume no error often fail on such mixture densities for example, statistics that assume normality often fail disastrously in the presence of even a few outliers and instead one uses robust statistics.
19.
Tools from non-parametric statistics can sometimes be used to evaluate how well the data fit a known distribution or to come up with a general model that makes only minimal assumptions about the model's mathematical form.
20.
Unlike histograms, stem-and-leaf displays retain the original data to at least two significant digits, and put the data in order, thereby easing the move to order-based inference and non-parametric statistics.
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