Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between... 56 KB (7,615 words) - 09:29, 11 February 2024 |
 | In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. As a multivariate procedure, it is used... 11 KB (1,274 words) - 08:49, 10 February 2024 |
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... 20 KB (2,551 words) - 12:28, 14 February 2024 |
multivariate analysis of variance (PERMANOVA), is a non-parametric multivariate statistical permutation test. PERMANOVA is used to compare groups of objects... 4 KB (547 words) - 17:57, 18 July 2023 |
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... 10 KB (1,143 words) - 22:05, 26 September 2023 |
In 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... 13 KB (1,661 words) - 00:00, 2 May 2022 |
 | Homoscedasticity and heteroscedasticity (redirect from Homogeneity of variance) 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... 27 KB (3,180 words) - 19:52, 25 February 2024 |
 | Kruskal–Wallis test (redirect from Kruskal-Wallis one-way analysis of variance) parametric equivalent of the Kruskal–Wallis test is the one-way analysis of variance (ANOVA). A significant Kruskal–Wallis test indicates that at least... 19 KB (2,415 words) - 14:19, 5 March 2024 |
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... 12 KB (2,035 words) - 19:37, 21 April 2024 |
Squared deviations from the mean (redirect from Sum of squared error) 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... 5 KB (927 words) - 22:45, 13 February 2024 |
decomposes the variance in the DV into variance explained by the CV(s), variance explained by the categorical IV, and residual variance. Intuitively, ANCOVA... 10 KB (1,321 words) - 06:43, 20 December 2023 |
 | In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation... 57 KB (9,980 words) - 20:27, 31 March 2024 |
the point of view of exploratory analysis, the eigenvalues of PCA are inflated component loadings, i.e., contaminated with error variance. Whilst EFA... 72 KB (9,799 words) - 19:36, 29 March 2024 |
determined). The term is most often used in the context of linear models (linear regression, analysis of variance), where certain random vectors are constrained... 29 KB (4,484 words) - 23:27, 23 April 2024 |
 | F-test (redirect from Variance ratio statistic) the analysis of variance (ANOVA). F test of analysis of variance (ANOVA) follows three assumptions Normality (statistics) Homogeneity of variance Independence... 17 KB (2,144 words) - 11:10, 5 January 2024 |
Analysis of molecular variance (AMOVA), is a statistical model for the molecular algorithm in a single species, typically biological. The name and model... 2 KB (281 words) - 11:43, 17 March 2022 |
Random effects model (redirect from Variance components model) model, also called a variance components model, is a statistical model where the model parameters are random variables. It is a kind of hierarchical linear... 8 KB (1,020 words) - 07:14, 27 February 2024 |
Student's t-test (category Pages displaying short descriptions of redirect targets via Module:Annotated link) facilitates the use of multiple linear regression and multi-way analysis of variance. These alternatives to t-tests allow for the inclusion of additional explanatory... 49 KB (6,651 words) - 20:57, 10 February 2024 |
 | square root of corresponding eigenvalues, that is, eigenvectors scaled up by the variances, are called loadings in PCA or in Factor analysis. XTX itself... 113 KB (14,220 words) - 04:37, 20 April 2024 |
related to analysis of variance (ANOVA) and regression analysis, which also attempt to express one dependent variable as a linear combination of other features... 45 KB (5,931 words) - 19:13, 7 December 2023 |
Multivariate statistics (redirect from Multivariable analysis) form of response-surface equations. Many different models are used in MVA, each with its own type of analysis: Multivariate analysis of variance (MANOVA)... 17 KB (1,859 words) - 17:39, 19 February 2024 |
 | Bivariate analysis is one of the simplest forms of quantitative (statistical) analysis. It involves the analysis of two variables (often denoted as X... 8 KB (925 words) - 11:04, 22 December 2023 |
 | Encyclopedia of Statistics. Free Press, v. 1, Evan J. Williams, "I. Regression," pp. 523–41. Julian C. Stanley, "II. Analysis of Variance," pp. 541–554... 36 KB (5,107 words) - 16:47, 16 February 2024 |
the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA). In addition to being thought of as a form of multiple regression... 7 KB (971 words) - 12:28, 22 June 2022 |
Multiple analysis of variance (MANOVA) or multiple analysis of covariance (MANCOVA). Louisiana State University. [4] Bors, D. A. University of Toronto... 7 KB (911 words) - 12:27, 4 August 2023 |
Mean squared error (redirect from Sum of squared differences) (Minimum-Variance Unbiased Estimator). Both analysis of variance and linear regression techniques estimate the MSE as part of the analysis and use the... 24 KB (3,827 words) - 19:57, 14 February 2024 |
Analysis of categorical data Analysis of covariance Analysis of molecular variance Analysis of rhythmic variance Analysis of variance Analytic and enumerative... 87 KB (8,293 words) - 21:10, 26 March 2024 |
data analysis or to allow the application of simple regression-based or analysis of variance techniques. The aim behind the choice of a variance-stabilizing... 5 KB (852 words) - 11:39, 31 October 2023 |
when an analysis of variance (ANOVA) test is significant. This typically creates a multiple testing problem because each potential analysis is effectively... 5 KB (427 words) - 13:05, 13 April 2024 |
Covariance (redirect from Co-variance) behavior), the covariance is negative. The magnitude of the covariance is the geometric mean of the variances that are in common for the two random variables... 29 KB (4,706 words) - 16:50, 23 April 2024 |