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Kendall's W

Index Kendall's W

Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic. [1]

12 relations: Block design, Copula (probability theory), Friedman test, Kendall rank correlation coefficient, Maurice Kendall, Nonparametric statistics, Normal distribution, Pearson correlation coefficient, Probability distribution, Spearman's rank correlation coefficient, Statistical hypothesis testing, Yadolah Dodge.

Block design

In combinatorial mathematics, a block design is a set together with a family of subsets (repeated subsets are allowed at times) whose members are chosen to satisfy some set of properties that are deemed useful for a particular application.

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Copula (probability theory)

In probability theory and statistics, a copula is a multivariate probability distribution for which the marginal probability distribution of each variable is uniform.

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Friedman test

The Friedman test is a non-parametric statistical test developed by Milton Friedman.

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Kendall rank correlation coefficient

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities.

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Maurice Kendall

Sir Maurice George Kendall, FBA (6 September 1907 – 29 March 1983) was a British statistician, widely known for his contribution to statistics.

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Nonparametric statistics

Nonparametric statistics is the branch of statistics that is not based solely on parameterized families of probability distributions (common examples of parameters are the mean and variance).

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Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

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Pearson correlation coefficient

In statistics, the Pearson correlation coefficient (PCC, pronounced), also referred to as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC) or the bivariate correlation, is a measure of the linear correlation between two variables X and Y. It has a value between +1 and −1, where 1 is total positive linear correlation, 0 is no linear correlation, and −1 is total negative linear correlation.

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Probability distribution

In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

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Spearman's rank correlation coefficient

In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter \rho (rho) or as r_s, is a nonparametric measure of rank correlation (statistical dependence between the rankings of two variables).

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Statistical hypothesis testing

A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.

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Yadolah Dodge

Yadolah Dodge (born 30 March 1944) is an Iranian and Swiss statistician.

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Redirects here:

Coefficient of concordance, Kendall W, Kendall coefficient of concordance W, Kendall's coefficient of concordance, Kendell's W, W coefficient.


[1] https://en.wikipedia.org/wiki/Kendall's_W

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