discriminant analysis

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Related to discriminant analysis: factor analysis, Cluster analysis

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 ?
The overall results of the discriminant analysis reveal one significant function through the Wilks' Lambda calculations.
Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong River, Journal of Hydroinformation, 10: 43-56.
3), although our discriminant analysis confused the males in these pairs rarely (only 1 of 20 songs was misclassified as the neighbor).
Thus, we first perform a discriminant analysis based on a sample of both failed and nonfailed firms in order to derive an empirical measure of financial worthiness and, implicitly, financial constraint.
0980 Table 2 Determinants of Differences Between High and Low M/B Firms: A Two-Group Stepwise Discriminant Analysis (1) Step and Standard Wilks' Chi-square df Sig.
For each phase (bright and dark phase) the observed intergrowth type (OC) and the intergrowth type given by discriminant analysis (DAC) are shown.
Therefore the results of Stage 1 discriminant analysis indicated that the three levels of service quality differed in respect of Job Satisfaction, Normative Commitment, type of job, education and salary of employees.
The basis of predicting membership of a priori groups using discriminant analysis involves division of discriminant space into mutually exclusive and collectively exhaustive regions by the cut-off scores.
Stepwise discriminant analysis was used to generate a table to determine whether performance in the introductory financial accounting course is able to allow unique classification of accounting majors versus non accounting majors.
Thus, if you are trying to explain an underlying process that produces the relationships between the dependent and independent variables, it would be better to use discriminant analysis (Heazlewood and Keshishian, 2010).
Then, with the help of the resulting indicators, we performed a cluster analysis, a compound regression analysis, and finally a discriminant analysis on the surveyed economic sectors.