Abstract
We consider the linear separation of two continuous multivariate distributions. Under mild conditions, the optimal linear separation exists uniquely. A kernel-smoothed approach is proposed to estimate the optimal linear combination and the corresponding separation measure. The proposed method yields consistent estimators allowing the construction of confidence intervals.
Acknowledgements
The authors would like to thank the Associate Editor and two referees for suggestions that helped very much to improve this article.