Examples of 'parametric and non-parametric' in a sentence
Meaning of "parametric and non-parametric"
parametric and non-parametric: These terms are used in statistics to describe different types of tests or methods that either make assumptions about the parameters of a population (parametric) or do not make such assumptions (non-parametric)
How to use "parametric and non-parametric" in a sentence
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parametric and non-parametric
Parametric and non-parametric analysis of data.
Choosing between parametric and non-parametric tests.
Parametric and non-parametric tests were used as appropriate.
They are categorized into parametric and non-parametric.
Parametric and non-parametric tests were used in the analyses.
Patients ' responses were analyzed using both parametric and non-parametric methods.
Parametric and non-parametric analysis both reveal similar results.
The merits and disadvantages of parametric and non-parametric bootstrapping procedures were discussed.
Parametric and non-parametric tests were used for statistical analysis of results.
There are two general classes of probability density estimates, parametric and non-parametric.
Our system relies on parametric and non-parametric classification methods.
I think it is important to remember the difference between parametric and non-parametric statistics.
A combined parametric and non-parametric analysis was performed on the microarray profiles obtained.
Confidence estimation is a well-studied área of both parametric and non-parametric statistics.
Statistic analysis used parametric and non-parametric statistic methods to establish data correlation.
See also
Nonlinear effects fall into two qualitatively different categories, parametric and non-parametric effects.
Parametric and non-parametric techniques for estimation and for model checking are considered.
The biallelic markers may be used in parametric and non-parametric linkage analysis methods.
Parametric and non-parametric tests were used for statistical analysis according to necessary model assumptions.
For the sake of clarity both parametric and non-parametric statistics have been performed.
Additionally, time series analysis techniques may be divided into parametric and non-parametric methods.
The empirical analysis used both parametric and non-parametric frontier approaches to estimate efficiency.
Parametric and non-parametric linkage analysis of several candidate regions for genes for human handedness.
The results are properly analyzed and validated using parametric and non-parametric statistical testing.
There are parametric and non-parametric approaches to empirical Bayes estimation.
The Shapiro-Wilk test was performed in order to check the parametric and non-parametric data distribution.
Both parametric and non-parametric modelling practices were used for modelling the area's CWD.
The Kolmogorov-Smirnov KS test was performed to segregate parametric and non-parametric continuous variables.
Thus, we conducted parametric and non-parametric tests, and found that the results were equivalent.
Pearson and Spearman correlations were performed for parametric and non-parametric data respectively.
Parametric and non-parametric analysis of variance, interactive and non-interactive analysis of covariance, multiple comparisons.
There are two basic methods, parametric and non-parametric.
Standard parametric and non-parametric statistics ( Student 's t-test, Wilcoxon 's rank sum test ) are applied.
We have here two approaches, parametric and non-parametric.
This model included several parametric and non-parametric models to adapt to all types of circuit.
Broadly speaking, predictive models fall into two camps, parametric and non-parametric.
Descriptive statistics for parametric and non-parametric results are expressed as mean ± standard-deviation.
Pearson 's and Spearman 's correlation coefficients were used for correlations of parametric and non-parametric variables, respectively.
Chapter 6, Review of parametric and non-parametric variable and model selection techniques.
Student 's t-test and the Mann-Whitney U-test were used to compare parametric and non-parametric data, respectively.
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Parametric values need a sound scientific basis
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