A proposal for handling ordinal categorical variables in co-inertia analysis

This paper is about the problem of the treatment of ordinal qualitative variables in co-inertia analysis. In the literature, there are different proposals based on the application of known statistical techniques to quantify ordinal variables. Here we propose to use a new procedure for the coding considering the empirical distributions of the variables involved in the analysis. We present an application to a real dataset, comparing the results obtained with the different kinds of quantification.     

Analyzing Customer Requirements to Select a Suitable Service Configuration Both for Users and for Company Provider

Social Indicators Research - The analysis of Customer Satisfaction is an important tool in planning business activities. It allows firms to identify which features and attributes are important for...     

Weighted likelihood latent class linear regression

Statistical Methods & Applications - A weighted likelihood approach for robust fitting of a finite mixture of linear regression models is proposed. An EM type algorithm and its variant based on...