factorial analysis
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Factorial — n n! 0 1 1 1 2 2 3 6 4 24 5 120 6 720 7 … Wikipedia
Factorial experiment — In statistics, a factorial experiment is an experiment whose design consists of two or more factors, each with discrete possible values or levels , and whose experimental units take on all possible combinations of these levels across all such… … Wikipedia
Analysis 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… … Wikipedia
Factorial code — Most real world data sets consist of data vectors whose individual components are not statistically independent, that is, they are redundant in the statistical sense. Then it is desirable to create a factorial code of the data, i. e., a new… … Wikipedia
Yates analysis — Full and fractional factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels. These are typically called the low and high levels. For computational… … Wikipedia
Multivariate 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 … Wikipedia
Termination analysis — In computer science, a termination analysis is program analysis which attempts to determine whether the evaluation of a given program will definitely terminate. Because the halting problem is undecidable, termination analysis cannot work… … Wikipedia
Factor analysis — is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, uncorrelated variables called factors. In other words, it is possible, for example, that variations in … Wikipedia
Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… … Wikipedia
Conjoint analysis (in marketing) — NOTOC Conjoint analysis is a statistical technique used in market research to determine how people value different features that make up an individual Product or Service. The objective of conjoint analysis is to determine what combination of a… … Wikipedia
Conjoint analysis (marketing) — See also: Conjoint analysis, Conjoint analysis (in healthcare), IDDEA, Rule Developing Experimentation. Conjoint analysis is a statistical technique used in market research to determine how people value different features that make up an… … Wikipedia
