Sentence examples for the 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.

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.

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.

Although these studies compared their nonparametric statistical method with one of nonparametric methods (chi-square), the authors did not compare their nonparametric method with parametric ones, nor did they specify possible problems of interpretation of the data.

Tests for homoscedasticity and normality were applied to determine the use of parametric or nonparametric methods [ 30, 31].

In such situations, the use of parametric methods is discouraged, and nonparametric tests (which are also referred to as distribution-free tests) such as the two-sample Mann–Whitney U test are recommended instead [ 11, 17].

The 95% CIs for the RIDI% were derived with the use of the nonparametric bootstrap percentiles CI method, based on 1,000 replications.

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).