discriminant analysis
Sexing the Cranium from the Foramen Magnum Using Discriminant Analysis in a Brazilian Sample
... The ROC curve analysis showed similar results to those of the discriminant analysis. M2 showed a better probability of discriminating sex compared to M1. In a recent study on sex estimation using the ...
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Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
... Handling of feature vector is quite unmanageable when its dimensionality is very large. It then becomes important to transform these high dimensional feature vectors to reduced feature space for the ease of management. ...
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Differentiation of free-ranging chicken using discriminant analysis of phenotypic traits
... (Stepwise discriminant) procedure was also used to determine traits of better discriminating ...(canonical-discriminant analysis of uni- and multivariate analysis) was applied to produce ...
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Heterotic group formation in Psidium guajava L. by artificiaL neuraL network and discriminant anaLysis
... abstract- the present study aimed at evaluating the heterotic group formation in guava based on quantitative descriptors and using artificial neural network (ANN). For such, we evaluated eight quantitative descriptors. ...
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Evaluation of crisphead lettuce cultivars in different cover types by manova and discriminant analysis
... In many agricultural experiments the variables are biologically correlated and it is inappropriate to study them only under univariate analysis. Therefore, we evaluated commercial characteristics of crisphead ...
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Combining models in discrete discriminant analysis
... Discrete Discriminant Analysis, alternative models provide different levels of predictive accuracy which has encouraged the research in combined ...Discrete Discriminant Analysis models: the ...
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DISCRIMINANT ANALYSIS IN MARKETING RESEARCH
... the discriminant analysis is the study of the relationships between a dependent variable, measured nominally, which implies the existence of two or more disjoint groups, and a set of independent variables, ...
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Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.
... In this paper, we propose a new and flexible binary classification method, namely Multi-task Linear Programming Discriminant (MLPD) analysis. The proposed MLPD method can be viewed as a generalization of ...
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Morphological evaluation of common bean diversity in Bosnia and Herzegovina using the discriminant analysis of principal components (DAPC) multivariate method
... DAPC discriminant functions are linear functions of principal components that optimize the separation of individuals into predefined groups. Based on the retained DFs, DAPC provided group membership probabilities ...
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Principal component analysis of the cytokine and chemokine response to human traumatic brain injury.
... Statistical analysis was performed using multivariate techniques, specifically principal component analysis (PCA), followed by partial least squares discriminant analysis (PLS – ...component ...
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Luiz Alexandre Peternelli1 , Édimo Fernando Alves Moreira 1,2, Moysés Nascimento
... As pointed out, the values for apparent error rate (AER) are low by both classifiers, the neural network (ANN) and discriminant analysis (LDA), when the full model (model 1) is used. For the classifier ANN, ...
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J. Braz. Chem. Soc. vol.24 número3
... qualitative analysis of adulterants and the quantitative determination of cocaine were both performed by gas chromatography coupled with mass spectrometry ...least-squares discriminant analysis ...
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Identification Using Classification Analysis of Flunitrazepam in Necrophagous Larvae via Differential Pulse Voltammetry and Fluorescence Excitation-Emission Matrix (EEM) Spectroscopy
... component analysis (PCA), successive projection algorithm (SPA) and genetic algorithm (GA): linear and quadratic discriminant analysis (LDA and ...factor analysis (PARAFAC) with ...
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Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review.
... or discriminant analysis techniques that investigate associations between multivariate environmental data and patterns of vector presence or absence for mapping vectors and vector- borne ...
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J. Braz. Chem. Soc. vol.26 número4
... square discriminant analysis (PLS2-DA), allied to mid-infrared (MIR) spectroscopy as an analytical method for simultaneous classification of biodiesels from different oils (soybean and used frying oil) and ...
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Career stages and occupations impacts on workers motivations
... The results obtained revealed that the third discriminant analysis, i.e., the one integrating career stages and occupational groups, presented the highest level of explained v[r] ...
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Geographic pattern of morphological variation of the coconut mite, Aceria guerreronis Keifer (Acari: Eriophyidae), using multivariate morphometry
... The coconut mite, Aceria guerreronis Keifer, has become one of the most important pests of coconut in the Americas and Africa and recently in Southeast Asia. Despite the great economic importance of this mite, there is a ...
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Rev. bras. cineantropom. desempenho hum. vol.16 número1
... inferential analysis of variance, and multi- variate discriminant analysis were used for statistical ...(p<0.05). Discriminant analysis identiied eight variables with a high ...
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Application of multivariate techniques in the evaluation of pure lines of beans
... canonical discriminant analysis, and multivariate contrasts, indicating the most favorable inferences in the evaluation of pure lines of ...multivariate analysis of variance, canonical ...
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Differentiation of Bacillus pumilus and Bacillus safensis using MALDI-TOF-MS.
... square discriminant analysis (PLSDA) of mass spectra demonstrated the presence of two individualized clusters, each one enclosing isolates belonging to a species-specific spectral ...chemometric ...
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