First of all, we would like to congratulate and to thank Lajos Horváth and Gregory Rice for providing an excellent overview of a recent development in the area of change point. This area is developing quite fast with many new procedures, many new theoretical results and many applications. We...

We consider statistical process control (SPC) of univariate processes when observed data are not normally distributed. Most existing SPC procedures are based on the normality assumption. In the literature, it has been demonstrated that their performance is unreliable in cases when they are used...

A mixed integer programming model is proposed for multiple-class discriminant and classification analysis. When multiple discriminant functions, one for each class, are constructed with the mixed integer programming model, the number of misclassified observations in the sample is minimized. This...

A mixed integer programming model is proposed for multiple-class discriminant and classificationanalysis. When multiple discriminant functions, one for each class, are constructed with the mixed integerprogramming model, the number of misclassified observations in the sample is minimized....