In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent...

In statistics, one-way analysis of variance (or one-way ANOVA) is a technique to compare whether two or more samples' means are significantly different...

Analysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA...

Variance-based sensitivity analysis (often referred to as the Sobol’ method or Sobol’ indices, after Ilya M. Sobol’) is a form of global sensitivity analysis...

for analysis of variance involve the partitioning of a sum of SDM. An understanding of the computations involved is greatly enhanced by a study of the...

repeated measures analysis of variance by ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks. The Friedman...

multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. As a multivariate procedure, it is used when there are two or...

decomposes the variance in the DV into variance explained by the CV(s), variance explained by the categorical IV, and residual variance. Intuitively, ANCOVA...

data in place of independent samples ANOVA. Tests for more than two related samples includes the Friedman two-way analysis of variance by ranks: 174–183 ...

measures inter-rater agreement for categorical items Friedman two-way analysis of variance (Repeated Measures) by ranks: tests whether k treatments in randomized...

In variance analysis (accounting) direct material price variance is the difference between the standard cost and the actual cost for the actual quantity...

statistics, a mixed-design analysis of variance model, also known as a split-plot ANOVA, is used to test for differences between two or more independent groups...

In variance analysis, direct material usage (efficiency, quantity) variance is the difference between the standard quantity of materials that should have...

Analysis of categorical data Analysis of covariance Analysis of molecular variance Analysis of rhythmic variance Analysis of variance Analytic and enumerative...

only two groups. The parametric equivalent of the Kruskal–Wallis test is the one-way analysis of variance (ANOVA). A significant Kruskal–Wallis test indicates...

the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA). In addition to being thought of as a form of multiple regression...

statistical test that compares variances. It is used to determine if the variances of two samples, or if the ratios of variances among multiple samples, are...

align with the true directions of maximal variance. Mean-centering is unnecessary if performing a principal components analysis on a correlation matrix, as...

heteroscedasticity is a major concern in regression analysis and the analysis of variance, as it invalidates statistical tests of significance that assume that the modelling...

quantifier variance refers to claims that there is no uniquely best ontological language with which to describe the world. The term "quantifier variance" rests...

Lumley, et al. (2002). One-way analysis of variance (ANOVA) generalizes the two-sample t-test when the data belong to more than two groups. When both paired...

The law of total variance is a fundamental result in probability theory that expresses the variance of a random variable Y in terms of its conditional...

the point of view of exploratory analysis, the eigenvalues of PCA are inflated component loadings, i.e., contaminated with error variance. Whilst EFA...

and machine learning, the bias–variance tradeoff describes the relationship between a model's complexity, the accuracy of its predictions, and how well...

In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation...

introductory text for analysis of variance (one-way, multi-way, factorial, split-plot, and unbalanced designs). Also analysis of co-variance, multiple and partial...

(2002, p. 312, “Multivariate two-way fixed-effects model with interaction”, in “6.6 Two-way multivariate analysis of variance”, p. 307–317) Mardia, Kent...

The Allan variance (AVAR), also known as two-sample variance, is a measure of frequency stability in clocks, oscillators and amplifiers. It is named after...

Bivariate analysis is one of the simplest forms of quantitative (statistical) analysis. It involves the analysis of two variables (often denoted as X...

cases, variance-based measures are more appropriate. Multiple or functional outputs: Generally introduced for single-output codes, sensitivity analysis extends...