Bias associated with the discriminant analysis approach to the estimation of mixing proportions

作者:

Highlights:

摘要

The estimation of the mixing proportion π1, in which the first of two multivariate normal groups occur is considered on the basis of a sample drawn from a mixture of them. Under the model studied, there are also data of known origin available from each of the groups for the formation of a discriminant rule R. The bias of the estimator of π1, based on the proportion of the mixture data assigned to the first group by R, is investigated. Also, the case where the data of known origin are taken to be correlated is considered.

论文关键词:Linear discriminant function,Mixing proportions,Confusion matrix,Correlated training data,Autoregressive processes

论文评审过程:Received 27 January 1988, Revised 28 November 1988, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(89)90012-5