On the robustness of the equal-mean discrimination rule with uniform covariance structure against serially correlated training data

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The effect of correlated training data on the error rates for the sample linear discriminant function has been studied by Basu and Odell,(1) McLachlan,(2) Tubbs,(3) and Lawoko and McLachlan.(4–6) This paper investigates the effect of serially correlated data on the expected error rate of the equal-mean classifier with uniform covariance structure.

论文关键词:Misclassification probabilities,Stationary time series,Asymptotic expansions,Serial correlation,Spectral density function

论文评审过程:Received 14 July 1987, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(88)90027-1