An Application of the Balanced Quadratic Classification Rule on the Discriminant Analysis in Growth Curve Model

성장곡선모형의 판별분석에서 균형이차분류법의 적용

The problem considered here is to find the optimal discriminant analysis method in growth curve model. It has been studied how to find correct prior probability for the effective classification in discriminant analysis. We use the balanced condition to calculate prior probability. From the informative simulation study, new classification rule for the growth curve model is suggested. The suggested classification rule has better classification result than the other previously suggested method in terms of error rate criterion.