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searching for One-way analysis of variance 18 found (26 total)

alternate case: one-way analysis of variance

F-test (2,189 words) [view diff] exact match in snippet view article find links to article

detailed understanding of group-wise differences. The F-test in one-way analysis of variance (ANOVA) is used to assess whether the expected values of a quantitative

Friedman test (1,169 words) [view diff] exact match in snippet view article find links to article

ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks. The Friedman test is widely supported by many statistical

W. Allen Wallis (775 words) [view diff] exact match in snippet view article find links to article

University of Rochester. He is best known for the Kruskal–Wallis one-way analysis of variance, which is named after him and William Kruskal. Born in Philadelphia

Brown–Forsythe test (691 words) [view diff] exact match in snippet view article find links to article

test statistic is the F statistic resulting from an ordinary one-way analysis of variance on the absolute deviations of the groups or treatments data from

William Kruskal (672 words) [view diff] exact match in snippet view article find links to article

statistician. He is best known for having formulated the Kruskal–Wallis one-way analysis of variance (together with W. Allen Wallis), a widely used nonparametric

Scheirer–Ray–Hare test (536 words) [view diff] exact match in snippet view article find links to article

of the Kruskal–Wallis test, the non-parametric equivalent for one-way analysis of variance (ANOVA), to the application for more than one factor. It is thus

Rank test (113 words) [view diff] exact match in snippet view article find links to article

with ordinal data. Wilcoxon signed-rank test Kruskal–Wallis one-way analysis of variance Mann–Whitney U (special case) Page's trend test Friedman test

Location test (323 words) [view diff] exact match in snippet view article find links to article

anova ≥ 2 factors two or other anova Not normal Kruskal–Wallis one-way analysis of variance by ranks Dependent Normally distributed Repeated measures anova

Omnibus test (6,180 words) [view diff] no match in snippet view article find links to article

Omnibus tests are a kind of statistical test. They test whether the explained variance in a set of data is significantly greater than the unexplained variance

Joseph Kruskal (732 words) [view diff] exact match in snippet view article find links to article

solitons, and William Kruskal, who developed the Kruskal–Wallis one-way analysis of variance. One of Joseph Kruskal's nephews is notable computer scientist

Nonparametric statistics (1,692 words) [view diff] exact match in snippet view article find links to article

samples are drawn from the same distribution. Kruskal–Wallis one-way analysis of variance by ranks: tests whether > 2 independent samples are drawn from

Design matrix (1,591 words) [view diff] exact match in snippet view article find links to article

is the design matrix. This section contains an example with a one-way analysis of variance (ANOVA) with three groups and seven observations. The given data

Canopy seed bank (1,291 words) [view diff] exact match in snippet view article find links to article

plants. These statistical methods include t-test distribution, one-way analysis of variance (ANOVA) and regression modelling. Several authors have highlighted

Law of total variance (1,741 words) [view diff] exact match in snippet view article find links to article

{Var} \!{\bigl (}\operatorname {E} [Y\mid X]{\bigr )}.\!} In a one-way analysis of variance, the total sum of squares (proportional to Var ⁡ ( Y ) {\displaystyle

Degrees of freedom (statistics) (4,530 words) [view diff] case mismatch in snippet view article

vectors. The three-population example above is an example of one-way Analysis of Variance. The model, or treatment, sum-of-squares is the squared length

Mann–Whitney U test (5,746 words) [view diff] exact match in snippet view article find links to article

Kolmogorov–Smirnov test Wilcoxon signed-rank test Kruskal–Wallis one-way analysis of variance Brunner Munzel test Proportional odds model Mann, Henry B.; Whitney

Student's t-test (7,009 words) [view diff] exact match in snippet view article find links to article

t-test and nonparametric alternatives, see Lumley, et al. (2002). One-way analysis of variance (ANOVA) generalizes the two-sample t-test when the data belong

Group development (5,057 words) [view diff] exact match in snippet view article find links to article

training and procedure manuals. Once the data analysis began, a one-way analysis of variance showed that the airlines had nearly no variation on measures