Latent Class Multidimensional Scaling Models (LCMDS hereafter) have been widely used in the marketing and psychometric literature to capture consumerspreference heterogeneity and market structure simultaneously. In LCMDS analysis, two types of utility models, the vector and the ideal point...

When we have data with missing values, the assumption that data are missing at random is very convenient. It is, however, sometimes questionable because some of the missing values could be strongly related to the underlying true values. We introduce methods for nonignorable multivariate missing...

When an assumption of missing at random is untenable, it becomes necessary to model missing-data indicators, which carry information about the parameters of the complete-data population. Within a given application, however, researchers may believe that some aspects of missingness are ignorable...

Analysing the use of marijuana is challenging in part because there is no widely accepted single measure of individual use. Similarly, there is no single response variable that effectively captures attitudes toward its social and moral acceptability. One approach is to view the joint...