Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data

Description

Preface......Page 3 Contents......Page 5 1 CUB Models......Page 7 1.1 CUB Models Structure......Page 8 1.1.1 Model Extensions......Page 10 1.2 Fitting Measures......Page 12 1.3 A Food Packaging Survey......Page 13 1.4 Final Remarks......Page 20 Refs......Page 21 2 Customer Satisfaction Heterogeneity......Page 24 2.1 Heterogeneity Indices......Page 25 2.2.1 Problem Definition......Page 28 2.2.2 Permutation Test......Page 29 2.3 Two-Sided Test......Page 32 2.4 Multisample Test......Page 35 2.5 Theoretical Developments & Practical Suggestions for Users......Page 37 Refs......Page 38 3 Ranking Multivariate Populations......Page 41 3.1 Ranking Methods......Page 42 3.2 Set-Up of the Multivariate Ranking Problem......Page 45 3.3.1 Wine Quality......Page 47 3.3.2 Cream Cheese......Page 49 3.3.3 Assessing Five Breads......Page 55 Refs......Page 58 4 Composite Indicators & Satisfaction Profiles......Page 60 4.1 NPC-based Composite Indicator......Page 61 4.1.1 Link Function......Page 62 4.1.2 How to Compute the NPC-Based Composite Indicator Including Satisfaction Profiles......Page 63 4.2 Students' Satisfaction Survey......Page 66 4.2.2 Taking into Account All Partial Aspects......Page 67 Refs......Page 70 5.1 Classical Parametric MANOVA NOT for Categorical Responses......Page 73 5.2 Nonparametric Multivariate Model look like......Page 75 5.3 Inference for Global Null Hypothesis......Page 76 5.4 Tests with Statistical Software......Page 80 5.5 Which Groups differ from each other?......Page 81 5.6 In which Endpoints do the Groups differ?......Page 82 5.7 How to interpret the Results?......Page 83 Refs......Page 84