Introduces the concept of cover coefficient to indexing theory and discusses a way of computing term discrimination values by using the cover coefficient concept, index-term selection, and weight modification. This method is compared to an approach that uses similarity coefficients. (Author/EM)

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)