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.

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 ?
By using Linear Discriminant Analysis algorithm, the features necessary to detect the amblyopia has been identified as Latency and Amplitude criteria with respect to time.
The linear discriminant analysis model takes the following form : Z = a+b 1 * x1 + b2* x2 + b3* x3 + .
Finally, we use frequentist linear discriminant analysis to predict the age classes of harvested deer from their eye lens dry mass.
Wang, "A semi-supervised feature extraction based on supervised and fuzzy-based linear discriminant analysis for hyperspectral image classification," Applied Mathematics & Information Sciences, vol.
In this paper, we propose local similarity based linear discriminant analysis (LS_LDA) to solve SSPP problem.
After that, we try to illustrate logistic regression, artificial neural network and linear discriminant analysis and application of these classification models on data of give support to established more academies in our society or not.
Fan and Wang (1999), Lim, Lon and Smith (2000) and Press and Wilson (1978) found that the linear discriminant analysis (LDA) and linear logistic discriminant analysis (LLD) provide equivalent results.
His linear discriminant analysis reveals luthiers who likely copied the outlines of their instruments from others, which historical accounts corroborate.
In another research study Tensor Graph-based Linear Discriminant Analysis (TGbLDA) is proposed as better alternative to Graph-based Fisher Analysis.
Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks (The Italian Experience).
Illustration of analyses with three classification matrices summarising the percentage of correct classifications derived from a linear discriminant analysis (LDA) for stock identification of the southern blue whiting Micromesistius australis.

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