-This paper considers the problem of estimating the probability of misclassifying normal variates using the usual discriminant function when the parameters are unknown. The probability ofâ€¦ (More)

An approach to transform continuous data to finite dimensional data is briefly outlined. A model to reduce the dimension of the finite dimensional data is developed for the case when the covarianceâ€¦ (More)

-This paper develops an explicit expression for a compression matrix T of smallest possible left dimension k consistent with preserving the n-variate normal Bayes assignment of x to a given one of aâ€¦ (More)

A solution of n matrix equations is formulated by using existing theory of pseudo inverses of matrices. Techniques for solving recursively such systems, techniques for determining the rank ofâ€¦ (More)

A technique for computing the fixed-point probability vector of an orgodic (cyclic) transition matrix <italic>P</italic> is developed. The technique utilizes generalized matrix inversion in a schemeâ€¦ (More)

The so-called table look-up classification procedure and a modification of it are discussed. These and several other classification techniques are evaluated and simulation results comparing some ofâ€¦ (More)

A dimension reduction method proposed by Odell (1979) and Decell, Odell, and Coberly (1981) for Gaussian models is extended to a general class of density functions known as 0-generalized normalâ€¦ (More)