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There are two kinds of pattern identification unit: One uses a parametric method for which the probability distribution of data is known in advance and another uses a nonparametric method which requires collected data because the probability distribution of data is unknown.
The software used to calculate the detection p-values (Illumina BeadStudio) uses a nonparametric method for the computation of detection p-values.
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Amos Golan and Jeffrey M. Perloff, "Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method," Review of Economics and Statististics, 86(1), February 2004.
We take as our model h = β ( r, d ) σ + α ( r, d ) + ∈, where β r, d) and α r, d) are unknown parameters and ∈ is an independent and identically distributed random variable with an arbitrary continuous distribution function F. We use a nonparametric method [19] for the linear regression problem as an automatic way of choosing h given an image neighborhood size and d.
Whenever the transformation procedure failed to satisfy the ANOVA assumptions, we used a nonparametric method: the Kruskal-Wallis One Way Analysis of Variance.
Note that, since we used a nonparametric method, there is no need to estimate the beta parameters in real data application.
Histopathologic scores were compared using a nonparametric method (Steel-Dwass method).
Model building was done a priori, using a nonparametric method called 'random forests' [ 18].
Another natural approach is to use a nonparametric method so that we do not need to specify the functional shape.
To test whether more than two independent samples originate from the same distribution we used a nonparametric method, the Kruskal-Wallis one-way analysis of variance by ranks.
Rather than apply a transformation to these data, it is convenient to use a nonparametric method known as the sign test.
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