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.

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.

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References in periodicals archive ?

Significant variables were identified by Bayesian stepwise discriminant analysis.

A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes: A Case-control Study

The stacked model is better in performance when compared to the models like Random Forest, Generalized Boosted Regression Modeling, Linear Discriminant Analysis and Support Vector Machine.

Effective diagnosis of heart disease through stacking approach

The dependent variables in our multinomial discriminant analysis are the Z scores with borrowers classified as High Safety Moderate Safety, or Inadequate Safety.

Multivariate discriminant predictive modelling of transactional credit risk in SME and mid-corporate lending

Postroyeniye sistemy diagnosticheskikh priznakov s ispol'zovaniyem metoda diskriminantnogo analiza v oftal'mologicheskikh issledovaniyakh [Building a system with diagnostically indicators with using the method of discriminant analysis in ophthalmologic research].

APPLICATION OF THE STATISTICAL APPROACH IN DIAGNOSING IN MEDICAL AND BIOLOGICAL RESEARCHES

Results of an unpaired t-test and a discriminant analysis are shown in Tables 2 and 3.

The canonical discriminant analysis transforms a large number of correlated original characteristics in linear combinations (canonical variables) so that the correlation between these variables becomes null (KHATTREE & NAIK, 2000).

Application of multivariate techniques in the evaluation of pure lines of beans/Aplicacao de tecnicas multivariadas na avaliacao de linhas puras de feijao

Third, we used linear discriminant analysis (Fisher 1936, Lee et al.

Estimating age and age class of harvested hog deer from eye lens mass using frequentist and Bayesian methods

We then applied the discriminant analysis on the remaining data (one month data).

Improving fraud and abuse detection in general physician claims: A data mining study

Artificial neural networks in association with discriminant analysis were effective in promoting the formation of heterotic groups in guava.

Heterotic group formation in Psidium guajava L. by artificial neural network and discriminant analysis/ Formacao de grupos hetroticos em Psidium guajava L. pelas redes neurais artificiais

According to the discriminant analysis results, since the number of groups is four, three discriminant functions were derived.

Strategy for Improving Efficiency of Supply Chain Quality Management in Buyer-Supplier Dyads: The Suppliers' Perspective

The present research investigated person matching at the scale and discriminant analysis levels to potentially improve the predictive validity of interest inventories.

Predictive validity of person matching at the scale and discriminant analysis levels

Keywords: Life Expectancy, Socioeconomic Factors, Discriminant Analysis.

DISCRIMINANT ANALYSIS OF SOCIOECONOMIC FACTORS OF LIFE EXPECTANCY AT BIRTH IN ASIA