NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Predictive Discriminant Analysis Versus Logistic Regression in Two-Group Classification Problems.
PDF on ERIC Download full text
Meshbane, Alice; Morris, John D. – 1996
A method for comparing the cross-validated classification accuracies of predictive discriminant analysis and logistic regression classification models is presented under varying data conditions for the two-group classification problem. With this method, separate-group, as well as total-sample proportions of the correct classifications, can be…
Descriptors: Classification, Comparative Analysis, Group Membership, Predictor Variables
A Method for Selecting between Linear and Quadratic Classification Models in Discriminant Analysis.
Peer reviewed Peer reviewed
Meshbane, Alice; Morris, John D. – Journal of Experimental Education, 1995
A method for comparing the cross-validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the "k"-group classification problem. Separate-group and total-group proportions of correct classifications can be compared for the two rules, as is illustrated. (Author/SLD)
Descriptors: Classification, Comparative Analysis, Discriminant Analysis, Equations (Mathematics)
A Method for Selecting between Fisher's Linear Classification Functions and Least Absolute Deviation in Predictive Discriminant Analysis.
PDF on ERIC Download full text
Meshbane, Alice; Morris, John D. – 1997
A method for comparing the cross-validated classification accuracy of Fisher's linear classification functions (FLCFs) and the least absolute deviation is presented under varying data conditions for the two-group classification problem. With this method, separate-group as well as total-sample proportions of current classifications can be compared…
Descriptors: Classification, Comparative Analysis, Computer Software, Correlation
Assuming Equal vs. Unequal Prior Probabilities of Group Membership in Discriminant Analysis: Effect on Predictive Accuracy.
PDF on ERIC Download full text
Meshbane, Alice; Morris, John D. – 1995
Cross-validated classification accuracies were compared under assumptions of equal and varying degrees of unequal prior probabilities of group membership for 24 bootstrap and 48 simulated data sets. The data sets varied in sample size, number of predictors, relative group size, and degree of group separation. Total-group hit rates were used to…
Descriptors: Classification, Comparative Analysis, Discriminant Analysis, Group Membership
A Method for Selecting between Linear and Quadratic Classification Models in Discriminant Analysis.
PDF on ERIC Download full text
Meshbane, Alice; Morris, John D. – 1994
A method for comparing the cross validated classification accuracies of linear and quadratic classification rules is presented under varying data conditions for the k-group classification problem. With this method, separate-group as well as total-group proportions of correct classifications can be compared for the two rules. McNemar's test for…
Descriptors: Classification, Comparative Analysis, Correlation, Discriminant Analysis
A Comparison of Three Methods of Classification Hit-Rate Estimation.
Morris, John D.; Huberty, Carl J. – 1986
Formulas for estimating cross-validated hit-rates, the number of correct classifications into an a priori grouping structure, were examined. The following mathematical formulas were compared: McLachlan's formula estimator, two Snappin and Knoke smoothed formula estimators, and the analytic leave-one-out estimator. The R method was included as a…
Descriptors: Classification, Comparative Analysis, Correlation, Estimation (Mathematics)