Methods of Multivariate Analysis
1Multivariate analysis — (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across… …
2Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …
3multivariate analysis — see correlation * * * any of various statistical methods for analyzing more than two variables simultaneously …
4Multivariate normal distribution — MVN redirects here. For the airport with that IATA code, see Mount Vernon Airport. Probability density function Many samples from a multivariate (bivariate) Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the… …
5Multivariate statistics — is a form of statistics encompassing the simultaneous observation and analysis of more than one statistical variable. The application of multivariate statistics is multivariate analysis. Methods of bivariate statistics, for example simple linear… …
6Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …
7Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …
8Multivariate landing page optimization — (MVLPO) is a specific form of landing page optimization where multiple variations of visual elements (e.g., graphics, text) on a webpage are evaluated. For example, a given page may have k choices for the title, m choices for the featured image… …
9Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… …
10Методы многомерного анализа (multivariate analysis methods) — Многомерность свойственна психол. данным по природе, поскольку они чаще всего состоят по крайней мере из неск. наблюдений за поведением одного человека или группы лиц. М. м. а. и были созданы для совместной обработки таких данных, напр. для их… …
