Sentence examples for use of nonparametric methods from inspiring English sources

Statistical analysis was conducted with the use of nonparametric methods.

The parametric model assumptions do not always hold (e.g., normality, linearity, independent explanatory variables), which suggests the use of nonparametric methods.

But this objective requires that an explicit model be used instead of nonparametric methods; a cancer may represent multiple independent hits that should be separately scored; sequencing of a codon or its product may show multiple distinct changes.

Several sensitivity analyses, including the use of robust regressions and of nonparametric methods for fitting time trends and temperature effects in the data, supported these findings.

This installment focuses on the use of nonparametric statistical methods.

Consequently, the use of nonparametric statistical methods for the data analysis has been deemed necessary.

Recent approaches for reverse engineering GRNs make use of nonparametric Bayesian methods (Äijö and Lähdesmäki, 2009; Klemm, 2008) and have proven competitive with other approaches (Äijö and Lähdesmäki, 2009; Penfold and Wild, 2011).

These summary plots clearly show the advantage of using nonparametric methods when epistasis is present.

In this study, we use three nonparametric methods: Threshold Number of Misclassification (TNoM), Minimum Distance to Modal Ranking (MDMR), and Weighted Punishment on Overlap (WEPO).

(2) Use the nonparametric methods to reduce the reliance of statistical inference on the specific form of the models.

To mimic this type of analysis using nonparametric methods, we performed between-subjects analyses on difference scores.