Optimal discriminant analysis is an alternative to ANOVA ( analysis of variance ) and regression analysis, which attempt to express one dependent variable as a linear combination of other features or measurements.
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Using line items from the auditor's checksheet, discriminant analysis, and a scoring mechanism, each return was awarded a score, known as a " Z-score ".
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Discriminant analysis is also different from factor analysis in that it is not an interdependence technique : a distinction between independent variables and dependent variables ( also called criterion variables ) must be made.
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Tahmasebi, P ., Hezarkhani, A ., and Mortazavi, M . ( 2010 ) : Application of Discriminant Analysis for Alteration Separation; Sungun Copper Deposit, East Azerbaijan, Iran.
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"' Optimal Discriminant Analysis ( ODA ) "'and the related "'classification tree analysis ( CTA ) "'are exact statistical methods that maximize predictive accuracy.
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The assumptions of discriminant analysis are the same as those for MANOVA . The analysis is quite sensitive to outliers and the size of the smallest group must be larger than the number of predictor variables.
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Three Iris varieties are used in the Iris flower data set outlined by Ronald Fisher in his 1936 paper " The use of multiple measurements in taxonomic problems " as an example of linear discriminant analysis.
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The features would have so-called LDA-based projection followed perhaps by heteroscedastic linear discriminant analysis or a global semi-tied co variance transform ( also known as maximum likelihood linear transform, or MLLT ).
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Using discriminant analysis and Sullivan and Rozen's system to classify debitage, Austin ( 1997 ) was able to correctly distinguish between patterned tool and core reduction techniques for 93.33 % of his experimental assemblages.
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The weighted form of the " GSVD " is called as such because, with the correct selection of weights, it " generalizes " many techniques ( such as multidimensional scaling and linear discriminant analysis)
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