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Nonparametric statistics. Part 3. Correlation coefficients

open access: yesТеория и практика переработки мяса, 2023
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
doaj   +1 more source

Nonparametric Tests for Purity of Low Statistics Data [PDF]

open access: yesEPJ Web of Conferences, 2020
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.
doaj   +1 more source

Nonparametric Statistics [PDF]

open access: yes, 2018
International ...
Allen M. Khakshooy, Francesco Chiappelli
  +7 more sources

A Comparison of Nonparametric Statistics and Bootstrap Methods for Testing Two Independent Populations with Unequal Variance

open access: yesInternational Journal of Analysis and Applications, 2023
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
doaj   +1 more source

Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" [PDF]

open access: yes, 2015
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
core   +5 more sources

Methods for nonparametric statistics in scientific research. Overview. Part 2

open access: yesТеория и практика переработки мяса, 2022
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
doaj   +1 more source

Methods for nonparametric statistics in scientific research. Overview. Part 1.

open access: yesТеория и практика переработки мяса, 2021
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
doaj   +1 more source

High-Dimensional Statistics: Non-Parametric Generalized Functional Partially Linear Single-Index Model

open access: yesMathematics, 2022
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
doaj   +1 more source

Using Huehn’s Nonparametric Stability Statistics to Investigate Genotype × Environment Interaction

open access: yesNotulae Botanicae Horti Agrobotanici Cluj-Napoca, 2012
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
doaj   +1 more source

Identification of the most stable genotypes in multi-environment trials by using nonparametric methods

open access: yesActa Agriculturae Slovenica, 2015
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
doaj   +1 more source

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