Existing methods for the analysis of clustered, ordinal data are inappropriate for certain applications. We propose latent variable models for clustered ordinal data which are derived as natural ...

Abstract: The problem of characterizing the sensitivity indices of structural performance considering random and interval uncertainty variables simultaneously is analyzed. Data-driven polynomial chaos ...

Reading the excellent "The Art Of Statistics" by Prof.Spiegelhalter, I came across a holistic problem-solving model that can serve as the starting point for a data analysis project - the ...

A two-days practical PC-based workshop which will go through basic statistical methods with further emphasis on data management. Firstly familiarising participants with SPSS, and progressing from data ...