Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1146891 | Journal of Multivariate Analysis | 2011 | 12 Pages |
Abstract
In this paper, we consider the expected probabilities of misclassification (EPMC) in the linear discriminant function (LDF) based on two-step monotone missing samples and derive an asymptotic approximation for the EPMC with an explicit form for the considered LDF. For this purpose, we also provide some results of the expectations for the inverted Wishart matrices in this paper. Finally, we conduct the Monte Carlo simulation for evaluating our result.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Nobumichi Shutoh, Masashi Hyodo, Takashi Seo,