Shrinkage in linear discriminant function analysis can be minimalized by having
ID: 3228579 • Letter: S
Question
Shrinkage in linear discriminant function analysis can be minimalized by
having the number of subjects in the smallest group be 10 times the number of predictor variables
having the number of subjects in the largest group be 10 times the number of predictor variables
having the number of subjects in the smallest group be at least 30
having the number of subjects in both groups be at least 150
A)having the number of subjects in the smallest group be 10 times the number of predictor variables
B)having the number of subjects in the largest group be 10 times the number of predictor variables
C)having the number of subjects in the smallest group be at least 30
D)having the number of subjects in both groups be at least 150
Explanation / Answer
Shrinkage can be minimized by having the number of subjects in the small group be 10 times the number of predictor variables. So option (A) is the correct choice.