Two-stage selection procedures have been widely studied and applied to determine appropriate sample sizes for selecting the best of k designs. However, standard “indifference-zone” procedures are derived with a statistically conservative least-favorable-configuration assumption. The Enhanced Two-Stage Selection (ETSS) is a procedure that takes into account not only the variance of samples but a...

This paper demonstrates how neural networks may be successfully applied to the problem of security selection in the Australian Stockmarket. In practice, it is unrealistic for a trader to apply capital to all securities available in the market, and a selection technique must be employed to reduce the number of securities competing for capital. Selection techniques are generally based on either f...

In this paper, we are concerned with how to select significant variables in semiparametric modeling. Variable selection for semiparametric regression models consists of two components: model selection for nonparametric components and selection of significant variables for the parametric portion. Thus, semiparametric variable selection is much more challenging than parametric variable selection ...

In this paper, we are concerned with how to select significant variables in semiparametric modeling. Variable selection for semiparametric regression models consists of two components: model selection for nonparametric components and select significant variables for parametric portion. Thus, it is much more challenging than that for parametric models such as linear models and generalized linear...

BACKGROUND U.S. Air Force (USAF) pilot selection and training procedures have changed substantially in the last several years. Pilot selection procedures were augmented with the introduction of computer-based testing to assess pilot aptitude. Training procedures have changed in an effort to modernize the training fleet and provide better, more specialized training earlier in the training proces...