Classifying scatterbrains by their reaction based on method of functional data

In this paper, we present a nonparametric statistical method for functional data analysis. We actually work with the functions obtained by taking logarithms of the densities and differentiating, one aspect of this transformation is that it makes a normal density into a straight line. We work with the probability density function, describing the reaction-time distributions. By studying a density function, we explore the use of functional principal components analysis to get a sense of how the density functions vary from student to student. The result of this paper is giving some help for computational classifying of human´s attention with the aid of their reaction-time.