Boosting is an iterative algorithm that combines simple classification rules with "mediocre" performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which incorporates a random mechanism at each...

A highly interactive, user-friendly object-oriented software package written in LispStat is introduced that performs simple and multiple correspondence analysis, and profile analysis. These three techniques are integrated into a single environment driven by a user-friendly graphical interface...

In this paper a highly interactive, user-friendly Lisp program is introduced to perform homogeneity analysis. A brief introduction to the technique is presented as well as its modification in the presence of missing data. The algorithm and its Lisp implemenation is discussed, and an overview of...