Paola Zuccolotto

Nonlinear CUB models have been recently introduced in the literature to model ordinal data taking into account the unequal spacing among response categories. Nonlinear CUB models can be effectively used in a variety of fields, typically when human perceptions and attitudes are measured by questionnaires with questions having ordered response categories...

There are two ways in order to completely perform a Principal Component Analysis over a data table with missing values: somehow imputating values to the missing data or excluding some part of the original sample from the analysis. Both these solutions can be rather costly, expecially with datasets having an appreciable number of missing values, but only one or at most two missing on any particular observational unit. An alternative proposal is formulated in this paper using the concept of Symbolic Data.