Examples of 'discriminant analysis' in a sentence
Meaning of "discriminant analysis"
discriminant analysis: Discriminant analysis is a statistical technique used in data analysis to identify and describe the differences between two or more groups of objects or individuals. It is often used in research, social sciences, and machine learning to classify and predict outcomes based on specific variables or features in the data
How to use "discriminant analysis" in a sentence
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discriminant analysis
Discriminant analysis classified observations into two or.
These data were analyzed by canonical discriminant analysis.
Linear discriminant analysis has also been used.
We show a property of linear discriminant analysis of mixed data.
A discriminant analysis of predictive factors in sex offender recidivism.
Contributions to sensitivity analysis and generalized discriminant analysis.
Canonical discriminant analysis for k classes.
This is related to quadratic discriminant analysis.
Discriminant analysis was used to reveal differentiation in morphometric characters.
Estimation of error rates in discriminant analysis.
Generalised discriminant analysis based on distances.
The validity of the construct has been analyzed by discriminant analysis.
Afterwards a discriminant analysis was performed to identify the predictive factors.
The technique used is discriminant analysis.
Discriminant analysis and classification.
See also
Results of the discriminant analysis.
Discriminant analysis clearly differentiated all three rDNA patterns.
Fuzzy canonical discriminant analysis.
The discriminant analysis technique however has certain limits.
This is better than that obtained by discriminant analysis of morphometric parameters.
Discriminant analysis of consumer interest in buying locally produced foods.
They use discriminant analysis.
Discriminant analysis is used instead.
Multiple discriminant analysis.
Discriminant analysis was mentioned under the heading summary.
I also did a discriminant analysis.
The methodologies used are multinomial logistic regression and discriminant analysis.
Standard discriminant analysis results.
They then used this in a statistical technique called discriminant analysis.
The use of discriminant analysis techniques allows classification to be refined.
This comparison is advantageously accomplished using a multivariate discriminant analysis technique.
The results of the discriminant analysis agree with other studies.
A prevision trial of the number of successes has been made via a discriminant analysis.
Linear discriminant analysis.
This also supports the literature which calls for discriminant analysis.
Optimal discriminant analysis.
The statistical methods used to the scale development were cluster and discriminant analysis.
Discriminant analysis is used when groups are known a priori unlike in cluster analysis.
A range of predictive models was developed using discriminant analysis and logistic regression.
Discriminant analysis confirmed that character variation was essentially haphazard among localities.
Validity was assessed through exploratory and confirmatory factor analysis and discriminant analysis.
Data were subjected to a discriminant analysis and different morphological types were confirmed in each group.
The second stage defines the learning classes to be used in the discriminant analysis.
A discriminant analysis between high and low marital quality groups was also realized.
The above discussion sets out in general terms the method of general discriminant analysis.
Discriminant analysis has been used to identify significant differences amongst the respondent groups.
GDA deals with nonlinear discriminant analysis using kernel function operator.
Discriminant analysis was used to derive two functions which explained these production differences.
Exact statistics Optimal discriminant analysis.
Discriminant analysis indicated that sediment nitrogen contributed most to a function distinguishing between years.
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Examples of using Discriminant
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The discriminant can be kind of a useful shortcut
To further explore the discriminant validity of the
Discriminant and derived number first level
