💡 Words with a Similar Meaning to "Multivariate analysis of variance"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| permutational analysis of variance | Permutational multivariate analysis of variance, is a non-parametric multivariate statistical permutation test. |
| analysis of variancenoun | (statistics) A collection of statistical models, and their associated procedures, in which the observed variance is partitioned into components due to different explanatory variables. |
| multivariate t-distribution | In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. |
| one-way analysis of variance | 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 (using the F distribution). |
| analysis of covariance | a general linear model that blends ANOVA and regression. |
| exploratory factor analysis | In multivariate statistics, exploratory factor analysis is a statistical method used to uncover the underlying structure of a relatively large set of variables. |
| estimating equations | In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated. |
| log-linear analysis | a technique used in statistics to examine the relationship between more than two categorical variables. |
| multivariate statistics | a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables. |
| two-way analysis of variance | In statistics, the two-way analysis of variance is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. |
| multinomial test | the statistical test of the null hypothesis that the parameters of a multinomial distribution equal specified values; it is used for categorical data. |
| mixed-design analysis of variance | 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 groups whilst subjecting participants to repeated measures. |
| confirmatory factor analysis | In statistics, confirmatory factor analysis is a special form of factor analysis, most commonly used in social science research. |
| best linear unbiased prediction | In statistics, best linear unbiased prediction is used in linear mixed models for the estimation of random effects. |
| covariancenoun | (statistics) A statistical measure defined as scriptstyle operatorname Cov(X,Y)= operatorname E((X-μ)(Y-ν)) given two real-valued random variables X and Y, with expected values scriptstyle E(X),=,μ and scriptstyle E(Y),=,ν. |
| inverse-variance weighting | In statistics, inverse-variance weighting is a method of aggregating two or more random variables to minimize the variance of the weighted average. |
| principal component regression | In statistics, principal component regression is a regression analysis technique that is based on principal component analysis. |
| recursive partitioning | A recursive partitioning tree showing survival of passengers on the Titanic ("sibsp" is the number of spouses or siblings aboard). |
| anova gauge r&r | ANOVA gauge repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance random effects model to assess a measurement system. |
| sample mean and covariance | The sample mean (sample average) or empirical mean (empirical average), and the sample covariance or empirical covariance are statistics computed from a sample of data on one or more random variables. |
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