Bias Associated with Maximum Likelihood Estimation of Multivariate Logistic Risk Function

Efficiency of a Linear Discriminant Function Based On Unclassified Initial Samples

Small sample results for partial classification with the Studentized statistic W

Biases Associated with Maximum Likelihood Methods of Estimation of Multivariate Logistic Risk Function

The bias of sample based posterior probabilities

Estimating Linear Discriminant Function From Initial Samples Containing a Small Number of Unclassified Observations

Note On Choice of a Weighting Function to Give An Efficient Method for Estimating Probability of Misclassification

Constrained Sample Discrimination with Studentized Classification Statistic-W

Criterion for Selecting Variables for Linear Discriminant Function

Further Results On Effect of Intraclass Correlation Among Training Samples in Discriminant-Analysis

Bias of Apparent Error Rate in Discriminant-Analysis

Some Expected Values for Error Rates of Sample Quadratic Discriminant Function

Iterative Reclassification Procedure for Constructing An Asymptotically Optimal Rule of Allocation in Discriminant-Analysis

Confidence Intervals for Conditional Probability of Misallocation in Discriminant-Analysis

Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis

Asymptotic Distributions of Conditional Error Rate and Risk in Discriminant-Analysis

Asymptotic Unbiased Technique for Estimating Error Rates in Discriminant-Analysis

The relationship in terms of asymptotic mean square error between the separate problems of estimating each of the three types of error rate of the linear discriminant function

Relationship in Terms of Asymptotic Mean-Square Error Between Separate Problems of Estimating Each of 3 Types of Error Rate of Linear Discriminant Function

Estimation of Errors of Misclassification On Criterion of Asymptotic Mean-Square Error