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Showing 1 to 20 of 204 for “"Discriminant Function"”.
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Discriminant function analysis for categorization of best practices
… performance classification models using multiple discriminant function analyses that divide project cost and schedule performance into four groups. The study will examine the best practices that discriminate the most among these four groups. These results are then summarized into a best practice …
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Representative selection of variables
The classical and most frequent use of the discriminant function is for the purpose of classification, by obtaining a combined measurement such that the difference between two or more groups is as large as possible. The linear discriminant function for the special case of two groups was first …
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The Relationship of Servant Leadership Attributes to Sales Performance of Salespersons in the Healthcare Industry in 2011
… 21% - 40% and (c) 41% and below.</p> <p>Results. Discriminant function analysis generated two discriminant functions that were significant. The first discriminant function was labeled Voice and had the strongest relationship with the following factors of servant leadership: developing and …
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A Comparison of the Classification Accuracy of Linear and Quadratic Statistical Discriminant Models versus Linear and Quadratic Programming Discriminant Models
… models versus traditional statistical discriminant analysis. Monte Carlo techniques were used to compute population 1, population 2, and average misclassification rates for the linear discriminant function (LDF), the quadratic discriminant function (QDF), a linear programming …
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Use of the Rorschach Inkblot Test to aid in diagnosis of bipolar disorder in children and adolescents
… DSM-IV-TR Axis I diagnosis. A hierarchical discriminant function analysis was used to examine the ability of selected Rorschach variables to improve accuracy of diagnosis beyond the use of historical and behavioral variables alone. A discriminant function analysis with historical and …
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Determining the Differences between English Language Learners Who Exit Services and English Language Learners Who Become Long-Term ELLs: A Discriminant Analysis
… fifth grade cases, and 261 ninth grade cases.Six discriminant analyses were calculated to find the variables with the highest predictive power. One discriminant function was produced for each analysis at each grade level. The variables that had the highest predictive power in the third grade …
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The use of the student behavior description questionnaire in distinguishing behavioral problem students from nonbehavioral problem students
… and 67 non-behavioral problem students. Stepwise discriminant analysis was used to determine the value of the SBDQ subtests in distinguishing behavioral problem from nonbehavioral problem students. Using the discriminant function prediction equation, the SBDQ was able to predict group membership …
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Multivariate Statistical Analysis of Three Crania Housed at the University of Montana Physical Anthropology Lab
… analyses: principal components analysis and discriminant function analysis. It was shown that the Michigan database was more effective at classifying UMFC 103, 104, and 120 into one of the predetermined populations than the Hanihara database. Based on these analyses UMFC 103 is tentatively …
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Multivariate Statistical Analysis of Three Crania Housed at the University of Montana Physical Anthropology Lab
… analyses: principal components analysis and discriminant function analysis. It was shown that the Michigan database was more effective at classifying UMFC 103, 104, and 120 into one of the predetermined populations than the Hanihara database. Based on these analyses UMFC 103 is tentatively …
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Variables that correlate with success in first year algebra
… the predictor variables. From these predictors, discriminant function equations were derived and placement into algebra from the use of these discriminant function equations was recommended.
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Maternal perinatal events as predictors of educational placement : computation of relative risk ratios
… regular education groups. The two significant discriminant functions correctly classified about 46% of the students, with the greatest misclassification occuring for those with emotional handicaps. When the separate disorders were collapsed to form a single group, eleven MPS items significantly …
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Development and validation of a classification system for child sexual abusers using the MMPI-2
… scale (n=29), and within normal limits (n=62). A discriminant function generated by cluster membership was able to accurately classify 98.11% of the sample.The three clusters were replicated in an independent sample (n=50) drawn from the same population. The discriminant function generated on the …
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Parkinson's disease: An investigation of relevant marital and family factors
… of multiple regression analyses, a two-group discriminant function analysis, and a multiple discriminant function analysis. A series of independent t-tests were also conducted to ascertain whether or not the average burden score generated from this sample differed from mean burden scores of …
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Sexual dimorphism of the thoracic vertebrae in a modern Cretan population: a comparison of the individual vertebrae in terms of accuracy in estimating sex.
… in a vertebra was eleven. The univariate discriminant function analysis yielded results with up to 89.4% total accuracy. Using a stepwise method of discriminant function analysis, two variables in T1 predicted sex with 90.6% total accuracy. In comparison to previous research on other …
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An Evaluation of Metric Methods of Race Differentiation in the Human Pelvic Girdle for the Application of Expert Witness Testimony
… levels up to 95% accuracy when utilizing discriminant function analysis to simultaneously classify race and sex. This research examined the previously reported methods of race estimation within the evidence standards for forensic science as well as current statistical standards. New metric …
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Binary tree classifier and context classifier
… tree classifier based on the Fisher's linear discriminant function as a decision rule at each nonterminal node, and the other is a contextual classifier which gives each pixel the highest probability label given some substantially sized context including the pixel. Experiments were performed …
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Cognitive correlates of worry in adolescents
… four process variables would contribute to the discriminant function and that the discriminant function would be effective in classifying moderate and high worriers into their respective groups, was also partially supported. Results revealed that 72.8% of the original grouped cases were …
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Sex and Ancestry Estimation Using the Base of the Cranium
Discriminant function analysis was employed to test sexual dimorphism and ancestral differences in the basicrania of European Americans and African Americans. The data used was originally collected on crania from the Terry and Bass III Donated Collections, using a three-dimensional digitizer. The …
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Sex and Ancestry Estimation Using the Base of the Cranium
Discriminant function analysis was employed to test sexual dimorphism and ancestral differences in the basicrania of European Americans and African Americans. The data used was originally collected on crania from the Terry and Bass III Donated Collections, using a three-dimensional digitizer. The …
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Statistical classification of item-response patterns into misconception groups in rule space
… major questions were raised: (a) How do the discriminant-function approach (DA) and the k-nearest-neighbor approach (KNN) perform for the classification of each bivariate-normally- and non-bivariate-normally-distributed item-response patterns in rule space? (b) Is the use of rule-space model …
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