This paper demonstrates that linear and quadratic discriminant decision rules of classifying observation as coming from one of several multivariate normal distribution can be construct for much broader classes of distribution such as elliptical contoured distributions. In the paper the attention is also focused to the applications of nonparametric and semiparametric methods (based on the kernel smoothing).