Partial least squares linear discriminant function (PLSD) as well as ordinary linear discriminant function (LDF) are used in pattern recognition analysis of writer identification based on arc patterns extracted from the writings written with Hangul letters by 20 Koreans. Also a simulation study is performed using the Monte Carlo method to compare the performances of PLSD and LDF. PLSD showed re...

In the present paper, an application of discriminant function analysis meteorological parameters for developing suitable statistical models to forecast wheat yield in Faizabad district Eastern Utter Pradesh has been demonstrated. Time series data on 20 years (1990-91 2009-10) have divided into three groups, viz. congenial, normal, and adverse based de-trended distribution. Considering these gro...

Discriminant analysis for two data sets in IR d with probability densities f and g can be based on the estimation of the set G = fx : f(x) g(x)g. We consider applications where it is appropriate to assume that the region G has a smooth boundary. In particular, this assumption makes sense if discriminant analysis is used as a data analytic tool. We discuss optimal rates for estimation of G.