discriminant analysis

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dis·crim·i·nant a·nal·y·sis

a statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values; an alternative to regression analysis.


separation into component parts.

cohort analysis
the separation of each of two cohorts into component parts and comparing the results.
current analysis
analysis performed on contemporary data.
discriminant analysis
a form of multivariate analysis in which the objective is to establish a discriminate function. The function (typically a mathematical formula) discriminates between individuals in the population and allocates each of them to a group within the population. The function is established on the basis of a series of measurements or observations made on the individuals.
economic analysis
evaluation of the costs and benefits of a commercial enterprise that takes into account additional returns, returns no longer obtained, additional costs and costs no longer incurred, discounting of gains back to the time when the project began, and opportunity costs relating to potential profitability from alternative use of the investment.
factor analysis
a multivariate technique which analyzes the underlying structure of a set of data. It is useful in explaining observed relationships amongst a large number of variables in terms of simpler relations.
guaranteed analysis
declares the range within which nutrients occur in a manufactured animal food.
multivariate analysis
techniques for the study of simultaneous variation in a number of variables. Includes linear discriminant functions, cluster analysis and factor and principal component analysis.
path analysis
a statistical technique for testing a limited number of causal hypotheses, the causal relationships between variables, by manipulation of one or more of the variables and predicting the outcome.
qualitative analysis
determination of the nature of the constituents of a compound or mixture.
quantitative analysis
determination of the proportionate quantities of the constituents of a compound or mixture.
regression analysis
a general statistical technique that analyzes the relationship between a dependent (criterion) variable and a set of independent (predictor) variables.
systems analysis
analysis of the interaction of a system, e.g. a biological system, often for the purpose of analyzing the differences between systems. See also system.
analysis of variance
a statistical method for comparing variables by partitioning the variance of the observations between the effects of the different variables and comparing it with the underlying random variation.
vector analysis
analysis of a moving force to determine both its magnitude and its direction, e.g. analysis of the scalar electrocardiogram to determine the magnitude and direction of the electromotive force for one complete cycle of the heart.
References in periodicals archive ?
A new and fast orthogonal linear discriminant analysis on undersampled problems.
PCA and Fisher linear discriminant analysis theory, in the above method to separate application and facial feature extraction the shortcomings and its advantages is proposed on the basis of the integration of Gabor and PCA+FLD algorithm.
Computational and theoretical analysis of null space and orthogonal linear discriminant analysis, Jouranl of Machine Learning Research, 7, 1183-1204.
The derivation of optimal classification set of VCG pattern descriptors, in relation to the infarct localization, was obtained with stepwise linear discriminant analysis.
First of all, the linear discriminant analysis and the logistic regression help isolating the most statistically relevant financial ratios for predicting loan default.
The ultraviolet spectrum curves of vinegar at different storage time are obtained, the data are processed and analyzed by the method of pattern recognition, such as Euclid(Mahalanobis) distance, linear discriminant analysis, principal component analysis, hybrid discriminant analysis and BP neural network.
The terms Fisher's linear discriminant and Linear Discriminant Analysis are often used interchangeably, although Fisher's original article The Use of Multiple Measures in Taxonomic Problems (1936) actually describes a slightly different discriminant, which does not make some of the assumptions of LDA such as normally distributed classes or equal class covariances (Johnson, 1998; Hair et.
The most popular methods applied to credit scoring models are linear discriminant analysis, logistic regression and their variations.
Zhou, Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm for Face Recognition, Lecture Notes in Computer Science, Springer, Berlin, 2004.
Classification methods: Soft Independent Modeling of Class Analogy (SIMCA), Linear Discriminant Analysis (LDA), PLS-DA, SVM-C
Classification was carried out using linear discriminant analysis.
Li, "A Two-Stage Linear Discriminant Analysis via QR Decomposition," IEEEPAMI, vol.

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