The Monte Carlo study compared the performance of predictive discriminant analysis (PDA) and that of logistic regression (LR) for the two-group classification problem. Prior probabilities were used for classification, but the cost of misclassification was assumed to be equal. The study used a fully crossed three-factor experimental design (with…

The jackknife and bootstrap methods are becoming more popular in research. Although the two approaches have similar goals and employ similar strategies, information is lacking with regard to the comparability of their results. This study systematically investigated the issue for a canonical correlation analysis, using data from four random samples…

Empirical results based on comparison with Monte Carlo estimates and using sample sizes of 200, 100, 50, and 20 suggested that the bootstrap technique provides less biased and more consistent results than the jackknife technique for a case of canonical correlation analysis. (SLD)