Intro; Preface; Acknowledgments; Contents; 1 The CUB Models; 1.1 Description of CUB Models Structure; 1.1.1 Model Extensions; 1.2 Fitting Measures; 1.3 A Food Packaging Survey; 1.4 Final Remarks; References; 2 Customer Satisfaction Heterogeneity; 2.1 Heterogeneity Indices; 2.2 Two-Sample Test for Dominance in Heterogeneity; 2.2.1 Problem Definition; 2.2.2 Permutation Test; 2.3 Two-Sided Test; 2.4 Multisample Test; 2.5 Further Theoretical Developments and Practical Suggestions for Users; References; 3 Ranking Multivariate Populations; 3.1 Ranking Methods

3.2 Set-Up of the Multivariate Ranking Problem3.3 Application to Food Sensory Analysis; 3.3.1 Wine Quality; 3.3.2 Cream Cheese; 3.3.3 Assessing Five Breads; References; 4 Composite Indicators and Satisfaction Profiles; 4.1 NPC-Based Composite Indicator; 4.1.1 Link Function; 4.1.2 How to Compute the NPC-Based Composite Indicator Including Satisfaction Profiles; 4.2 A Students' Satisfaction Survey; 4.2.1 Satisfaction Profiles; 4.2.2 Taking into Account All Partial Aspects; References; 5 Analyzing Survey Data Using Multivariate Rank-Based Inference

5.1 Why Should Classical Parametric MANOVA Methods Not Be Used for Categorical Responses?5.2 How Does the Nonparametric Multivariate Model Look Like?; 5.3 How Can Inference Be Performed for theGlobal Null Hypothesis?; 5.4 How to Perform These Tests with Statistical Software?; 5.5 Which Groups Differ from Each Other?; 5.6 In Which Endpoints Do the Groups Differ?; 5.7 How to Interpret the Results?; References