Examples of 'nonparametric' in a sentence
Meaning of "nonparametric"
Nonparametric (adjective) - relating to a statistical method that does not assume a specific probability distribution for the variables being analyzed
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- Having a flexible number or nature of parameters which are not fixed in advance.
- Free of assumptions about the frequency distributions of the variables being assessed.
How to use "nonparametric" in a sentence
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nonparametric
Nonparametric tests were used for statistical analysis.
A histogram is a simple nonparametric estimate of a probability distribution.
Nonparametric tests do not rely on any distribution.
A histogram is an example of a nonparametric estimate of a probability distribution.
Nonparametric methods for estimating probability densities.
The estimation based on a nonparametric framework was developed.
Nonparametric bootstrap or the akaike information criterion aic.
Which is a simple multiple of the nonparametric skew.
Parametric or nonparametric bicaudal tests were applied when necessary.
Parametric tests frequently have nonparametric equivalents.
Nonparametric tests of interaction in experimental design.
All statistics were performed using nonparametric statistics.
The nonparametric skew does not satisfy these axioms.
The variables presented nonparametric distribution.
A nonparametric test for two related dichotomous variables.
See also
Introduction into nonparametric cluster statistics.
Nonparametric estimation of sample selection models.
This procedure offers a nonparametric test for discarding.
Exact nonparametric tolerance intervals for continuous distributions.
A decision tree is also a nonparametric method.
Nonparametric tests are based on ranks of values.
Kernel regression is a nonparametric statistical method for estimation.
Nonparametric models for dichotomous responses.
Sizes were compared using a nonparametric test.
Seives for nonparametric estimation of densities and regressions.
The results were submitted to nonparametric analysis.
Nonparametric tests are like a parallel universe to parametric tests.
He made notable contributions to nonparametric statistics.
Nonparametric tests do not require the assumption of normality.
Difference of this type is detected by employing a nonparametric test.
Transformations or nonparametric analyses are performed as necessary.
The only remaining option is to use a nonparametric test.
Nonparametric segmentation of nonstationary time series.
The approach is multivariate and nonparametric.
These are nonparametric statistical overviews.
Are more powerful than nonparametric tests.
Nonparametric system identification methods in time and frequency domain.
Parametric and nonparametric statistics.
Nonparametric data were represented by the total number and percentage.
Bootstrap and nonparametric regression.
Nonparametric variables were summarized as median and interquartile range values.
On invariant coordinate selection and nonparametric analysis of multivariate data.
Nonparametric correlation of the biomarkers.
We consider the model of nonparametric regression with random design.
Nonparametric tests were used because of the small sample size.
Pharmacokinetic parameters were determined by nonparametric pharmacokinetic data analysis techniques.
Nonparametric tests for independence.
Tests for abnormally distributed data are called nonparametric.
None of the nonparametric tests require the assumption of normality.
Thus the estimation task is statistically harder in nonparametric models.
