- multiple-discriminant analysis
- ( MDA)Statistical technique for distinguishing between two groups on the basis of their observed characteristics. Bloomberg Financial Dictionary
Financial and business terms. 2012.
multiple-discriminant analysis
Look at other dictionaries:
Multiple discriminant analysis — For other uses of this acronym, see MDA (disambiguation). Multiple Discriminant Analysis (MDA) is a method for compressing a multivariate signal to yield a lower dimensional signal amenable to classification.[1] MDA is not directly used to… … Wikipedia
Multiple Discriminant Analysis - MDA — A statistical technique used to reduce the differences between variables in order to classify them into a set number of broad groups. In finance, this technique is used to compress the variance between securities while also allowing the person to … Investment dictionary
multiple discriminant analysis — /ˌmʌltɪp(ə)l dɪ skrɪmɪnənt əˌnæləsɪs/ noun a method for assessing products by separating out their various attributes, and estimating the relative values of these attributes to different market segments. The whole process produces an assessment… … Marketing dictionary in english
Multiple-discriminant analysis (MDA) — Statistical technique for distinguishing between two groups on the basis of their observed characteristics. The New York Times Financial Glossary … Financial and business terms
Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… … Wikipedia
Optimal discriminant analysis — (ODA) and the related classification tree analysis (CTA) are statistical methods that maximize predictive accuracy. For any specific sample and exploratory or confirmatory hypothesis, optimal discriminant analysis (ODA) identifies the statistical … Wikipedia
Discriminant function analysis — is a statistical analysis to predict a categorical dependent variable by one or more continuous or binary independent variables. It is different from an ANOVA or MANOVA, which is used to predict one (ANOVA) or multiple (MANOVA) continuous… … Wikipedia
Linear discriminant analysis — Die Diskriminanzanalyse ist eine Methode der multivariaten Verfahren in der Statistik. Sie wurde von R. A. Fisher 1936 zum ersten Mal in The use of multiple measurements in taxonomic problems[1] beschrieben. Sie wird in der Statistik und im… … Deutsch Wikipedia
Correspondence analysis — (CA) is a multivariate statistical technique proposed[1] by Hirschfeld[2] and later developed by Jean Paul Benzécri.[3] It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data. In a… … 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
