Buch, Englisch, 84 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 163 g
Reihe: SpringerBriefs in Statistics
Buch, Englisch, 84 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 163 g
Reihe: SpringerBriefs in Statistics
ISBN: 978-3-319-91739-9
Verlag: Springer-Verlag GmbH
The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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