ANOVA–simultaneous component analysis (ASCA or ANOVA-SCA) is a statistical technique used to analyze complex datasets, particularly those arising from...

Mathematics portal ANOVA on ranks ANOVA-simultaneous component analysis Analysis of covariance (ANCOVA) Analysis of molecular variance (AMOVA) Analysis of rhythmic...

Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data...

principal components Kernel principal component analysis, an extension of principal component analysis using techniques of kernel methods ANOVA-simultaneous component...

may change the response between repetitions. Repeated measures analysis of variance (rANOVA) is a commonly used statistical approach to repeated measure...

later classification. LDA is closely related to analysis of variance (ANOVA) and regression analysis, which also attempt to express one dependent variable...

ANOVA gauge repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance (ANOVA) random effects model...

called the spectral analysis of time-series and is analogous to the usual analysis of variance of data that is not a time-series (ANOVA). Knowledge of which...

Analysis of covariance (ANCOVA) is a general linear model that blends ANOVA and regression. ANCOVA evaluates whether the means of a dependent variable...

MANOVA is a generalized form of univariate analysis of variance (ANOVA), although, unlike univariate ANOVA, it uses the covariance between outcome variables...

ANCOVA – redirects to Analysis of covariance Anderson–Darling test ANOVA ANOVA on ranks ANOVA–simultaneous component analysis Anomaly detection Anomaly...

F-test, and plays an important role in the analysis of variance (ANOVA). F test of analysis of variance (ANOVA) follows three assumptions Normality (statistics)...

parametric equivalent of the Kruskal–Wallis test is the one-way analysis of variance (ANOVA). A significant Kruskal–Wallis test indicates that at least one...

important components of a systematic review. The term "meta-analysis" was coined in 1976 by the statistician Gene Glass, who stated "Meta-analysis refers...

measures analysis of variance (ANOVA). It was developed in 1940 by John Mauchly. Sphericity is an important assumption of a repeated-measures ANOVA. It is...

general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA). In addition to being thought of as...

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called...

linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of...

statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random...

the efficient identification of smoothing spline ANOVA models". AStA Advances in Statistical Analysis. 94 (4): 367–388. doi:10.1007/s10182-010-0148-8....

which "verbal intelligence"—the first component in each column of F {\displaystyle F} —is measured, and simultaneously halving the factor loadings for verbal...

interactions can arise is a two-factor experiment analyzed using Analysis of Variance (ANOVA). Suppose we have two binary factors A and B. For example, these...

when neural networks implement a form of Principal Component Analysis or Independent Component Analysis. A "clustering" is essentially a set of such clusters...

"successive spectral analysis" and the result a "least-squares periodogram". He generalized this method to account for any systematic components beyond a simple...

Martínez Torres, J.; Taboada Castro, J. (2010-10-01). "Analysis of lead times of metallic components in the aerospace industry through a supported vector...

for multi class classification as well) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance in...

one-way analysis of variance (ANOVA), to the application for more than one factor. It is thus a non-parameter alternative to multi-factorial ANOVA analyses...

Principal Component Analysis (sPCA) is a multivariate statistical technique that complements the traditional Principal Component Analysis (PCA) by incorporating...

cluster of data-analysis methods concerning effect sizes is referred to as estimation statistics. Effect size is an essential component when evaluating...

{Z}})^{2}\right]} with 3(n−1) degrees of freedom. Of course, introductory books on ANOVA usually state formulae without showing the vectors, but it is this underlying...