Combinatorial data analysis — (CDA) is the study of data sets where the arrangement of objects is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does… … Wikipedia
Structured data analysis (statistics) — Structured data analysis is the statistical data analysis of structured data. Either in the form of a priori structure such as multiple choice questionnaires or in situations with the need to search for structure that fits the given data, either… … 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
Data — For data in a computer science context, see Data (computing). For other senses of the word, see Data (disambiguation). See also datum, a disambiguation page. The term data refers to qualitative or quantitative attributes of a variable or set of… … 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
Multiple correspondence analysis — In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low dimensional… … Wikipedia
Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… … Wikipedia
Data collection — is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important… … Wikipedia
Statistical shape analysis — is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and… … Wikipedia
Principal geodesic analysis — In geometric data analysis and statistical shape analysis, principal geodesic analysis is a generalization of principal component analysis to a non Euclidean, non linear setting of manifolds suitable for use with shape descriptors such as medial… … Wikipedia
