Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data

• Main Authors: Arboretti, Rosa (Author, http://id.loc.gov/vocabulary/relators/aut), Bathke, Arne (http://id.loc.gov/vocabulary/relators/aut), Bonnini, Stefano (http://id.loc.gov/vocabulary/relators/aut), Bordignon, Paolo (http://id.loc.gov/vocabulary/relators/aut), Carrozzo, Eleonora (http://id.loc.gov/vocabulary/relators/aut), Corain, Livio (http://id.loc.gov/vocabulary/relators/aut), Salmaso, Luigi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics .; Mathematical statistics.; Computer mathematics.; Statistical Theory and Methods.; Probability and Statistics in Computer Science.; Computational Mathematics and Numerical Analysis.

This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perc...

Table of Contents:

• Chapter 1. The CUB models
• Chapter 2. Customer satisfaction heterogeneity
• Chapter 3. Ranking multivariate populations
• Chapter 4. Composite indicators and satisfaction profiles
• Chapter 5. Analyzing Survey Data Using Multivariate Rank-Based Inference.