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Nonparametric statistics. Part 3. Correlation coefficients
A measure of correlation or strength of association between random variables is the correlation coefficient. In scientific research, correlation analysis is most often carried out using various correlation coefficients without explaining why this ...
M. A. Nikitina, I. M. Chernukha
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Nonparametric Tests for Purity of Low Statistics Data [PDF]
The nonparametric methods are most suitable for tasks facing the uncertainty or complexity of models and the small statistics of the analyzed data. They are irreplaceable in those cases when high tempo of the analysis is required.
Zlokazov Victor B.
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Nonparametric Statistics [PDF]
International ...
Allen M. Khakshooy, Francesco Chiappelli
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The common parametric statistics used for testing two independent populations have often required the assumptions of normality and equal variances. Nonparametric tests have been used when assumptions of parametric tests cannot be achieved.
Wandee Wanishsakpong +2 more
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Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" [PDF]
Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" by Szab\'o, van der Vaart and van Zanten [arXiv:1310.4489v5].Comment: Published at http://dx.doi.org/10.1214/15-AOS1270D in the Annals of Statistics (http://www ...
Low, Mark G., Ma, Zongming
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Methods for nonparametric statistics in scientific research. Overview. Part 2
The use of nonparametric methods in scientific research provides a number of advantages. The most important of these advantages are versatility and a wide range of such methods.
M. A. Nikitina, I. M. Chernukha
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Methods for nonparametric statistics in scientific research. Overview. Part 1.
Daily, researcher faces the need to compare two or more observation groups obtained under different conditions in order to confirm or argue against a scientific hypothesis.
M. A. Nikitina, I. M. Chernukna
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We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane +3 more
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Using Huehn’s Nonparametric Stability Statistics to Investigate Genotype × Environment Interaction
Genotype × environment interaction (GEI) is of special interest in breeding programs to identify adaptation targets and test locations as well as to determine the most favorable genotypes.
Rahmatollah KARIMIZADEH +3 more
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Genotype performances in multi-environment trials are usually analyzed by different univariate and multivariate parametric models for assessing yield stability and genotype × environment (GE) interaction investigation.
Naser SABAGHNIA
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