Results of Discriminant Function Analysis
Dropout Classification through Discriminant Function Analysis: A Statistical Approach
... using discriminant analysis for the computer science students of higher educational ...final results show that the accuracy of the model for training data using cross-validated grouped cases and ...
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Determination of sex of adult human scapula by discriminant function analysis
... direct analysis, Maximum scapular breadth is the best discriminant variable among all variables with 89% for males and ...direct discriminant analysis was applied to evaluate the diagnostic ...
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Sex Estimation by Discriminant Function Analysis of Hand Dimensions of the Igbos in Nigeria
... The results however showed females to have higher mean values in most of the measured parameters except for RHL, RHB, RHI, LHL and LHB. However, mean values were generally not significant except for RHL (t = 4.94, ...
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Gender Determination Using Digital Lateral Cephalograms: A Discriminant Function Analysis
... According to the results of analysis, N-Me, Ar-Go, Me- Go, and FsWd played a crucial role in generating the differential analysis equation. In their study, Veyre- Goulet et al. found that the frontal ...
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Predicting Financial Performance Of Selected Listed Companies Through Discriminant Function Analysis
... 1270 the basis of rational theoretical framework. In absolute measure, some of the variables are total assets, net worth, enterprise value etc. while in relative measures, key financial ratios have been chosen fairly ...
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Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach
... Among all the model predictors, narrative intelligence has the highest classifying validity when it comes to L2 writing ability. It even surpasses depth of vocabulary. This finding can be analyzed against the background ...
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Grammatical Morphology in School-Age Children With and Without Language Impairment: A Discriminant Function Analysis
... The dissimilar results between Bedore and Leonard (1998) and the current research may also be due to differ- ences in language sampling procedures. As described pre- viously, the children in the current study were ...
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Assessment and understanding of unilateral trans-tibial amputee gait using principal component analysis and discriminant function analysis
... the results of Chapter ...These results are similar to previous findings, which indicate that the ankle joint angle changes between limbs since the prosthetic foot component is rigid compared to the ...
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Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks
... the results of the curve-fitting analysis that the structure of calls is highly ...the function, in terms of its ability to change its rate of frequency modulation, the better it was at describing ...
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Successful entrepreneur: a discriminant analysis
... sampling. Results of this study reveal that values of Wilky’s λ for all predictors in the discriminant function vary between ...the discriminant function plays an important role in ...
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Discriminant incoherent component analysis
... Subsequently, sparse, non-Gaussian noise is added to the original signal Y to simulate a more realistic scenario. First, a matrix containing only values in {+1, −1} is created as E = sgn(B), where B ∈ R 600×600 is a ...
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A discriminant function for predicting participant retention in fitness programs.
... the results of the cross- ...the discriminant analysis reporting and discussing the results obtained for a mixed male-female population, females only, and males ...
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Fisher’s Linear Discriminant Classifier And Rank Transformation Approach To Discriminant Analysis
... Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear function of p variables which maximizes the distance between centroids or midpoints of multivariate ...
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The Correlation Recognition of Distorted Images Based on Synthetic Discriminant Function
... computer analysis of experimental results show, the distortion invariant pattern recognition correlator based on the SDF is characterized by high discrimination, real-time and flexible processing, and ...
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DISCRIMINANT FUNCTION ANALYSIS (DA)
... first function provides the most overall discrimination between groups, the second provides second most, and so ...first function picks up the most variation; the second function picks up the ...
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Discriminant Analysis: An Analysis of Its Predictship Function
... discriminate analysis is to predict group membership from a set of ...(Li,2012). Discriminant function analysis is used to determine which variables discriminate between two or more naturally ...
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Predicting Student Outcomes Using Discriminant Function Analysis. Abstract
... a function is computed for each ...Whichever function is largest determines into which group that case is predicted to ...Linear Discriminant Functions since the coefficients could be easily produced ...
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Discriminant Analysis
... Given one has measurements of a number of variables for some individuals with the goal of determining a discriminant function. One often has the question if it really is necessary with all the measurements, ...
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Predictive Discriminant Analysis
... optimal discriminant variables (with the constraint that discriminant variables are pairwise ...the discriminant variables for the original observations the mean of each variable is subtracted from ...
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Wasserstein Discriminant Analysis
... a function of k for the different subspace methods when projecting onto p = 2 and p = 10 dimensions ...the analysis to L = 10 as the number of fixed point ...the discriminant information available in ...
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