Colloquium Biometricum (Online)
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Vol:
30
Page:
246
Authors:
Wiesław Pasewicz
Title:
On probability of misclassification for zero-mean discrimination with special covariance matrix structure
Language:
English
Keywords:
quadratic discriminant function
probability of misclassification
special covariance matrix
Summary:
Let us assume that in population π
i
random vector X has p-dimensional normal distribution with zero-mean vector and covariance matrix of the form Σ
i
=σ
i
2
[(1-ρ)I+ρE]; i=1,2, where σ
i
2
is the variance, ρ is the common correlation coefficient, I is the (pxp) identity matrix and E is the (pxp) matrix with all elements equal to 1.
In the paper we find the misclassification probabilities for the quadratic discriminant function when the matrix Σ
i
, is known. The case when the parameter ρ is known but σ
i
2
is unknown is considered as well.